tag:blogger.com,1999:blog-42123982421999347492024-02-19T21:16:34.000-05:00EMECEP Consultoría - Estudio Martin Economistas - Consultorías Económicas y PericiasResearch. Economía Peruana. Economía Internacional.José-Manuel Martin Coronadohttp://www.blogger.com/profile/03344580094499036179noreply@blogger.comBlogger172125tag:blogger.com,1999:blog-4212398242199934749.post-56507391703435648942023-03-29T20:38:00.009-05:002023-03-29T21:05:18.355-05:00¿Por qué los economistas están aprendiendo a codificar?<p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"> Los economistas siempre han tenido que analizar y examinar conjuntos de datos, pero ahora utilizan cada vez más modelos de codificación herméticos en leguajes de programación como R y Python, con el fin de aumentar la eficiencia y poder ejecutar modelos más complejos, sin embargo, esto todavía no se ha generalizado, debido a que muchas universidades no ofrecen cursos de programación como complemento a los cursos de econometría existentes o como materia independiente. </span><span style="vertical-align: inherit;">De esta manera, los economistas no se han benefiado de este nuevo desarrollo, desconociendo las nuevas herramientas, para el análisis de datos, la investigación económica y web scraping.</span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Figura 1. Tamaño de las comunidades de lenguajes de programación, Q3_2022</span></span></p><p style="text-align: center;"><span id="docs-internal-guid-6bf49530-7fff-d7c0-2df0-640efe961c1a"><span style="font-size: 12pt; font-variant-alternates: normal; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 599px; overflow: hidden; width: 602px;"><img height="599" 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" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;"><span style="white-space: pre-wrap;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: Comunidad de la Nación de Desarrolladores </span></span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Las diferencias entre economistas y cientificos de datos</span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Los científicos de datos y los economistas estudian diferentes temas y también tienen diferentes conjuntos de habilidades, si bien ambos comparten habilidades de análisis de datos, los científicos de datos suelen tener experiencia en codificación y comprender algunos lenguajes informáticos, mientras que un economista puede tener poca o ninguna habilidad de programación.</span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Por otro lado, los economistas y los científicos de datos poseen fuertes habilidades de interpretación, ya que su principal deber es analizar los datos para que los use otra persona. </span><span style="vertical-align: inherit;">Sin embargo, los economistas pueden ser más hábiles sólo en tipos específicos de datos, como modelos económicos y financieros.</span></span></p><p style="text-align: justify;"><br /></p><p style="text-align: justify;"><span style="white-space: pre-wrap;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Comunidad de la nación desarrolladora. </span><span style="vertical-align: inherit;">(11 de noviembre de 2022). </span><span style="vertical-align: inherit;">Tamaño de las comunidades de lenguajes de programación en el tercer trimestre de 2021. (Developer Nation Community) Obtenido de https://www.developernation.net/blog/a-saga-of-programming-languages-2022-update</span></span></span></p><div><br /></div>Joseph Huisacayna Sanahttp://www.blogger.com/profile/18265397665837334556noreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-25542139443167262712023-03-06T23:58:00.007-05:002023-03-08T18:41:19.811-05:00¿Promueve la economía digital el mejoramiento de la calidad ambiental?<p style="text-align: justify;"> La economía digital de Estados Unidos se ha desarrollado rápidamente en los últimos años, caracterizado por la precipitada ampliación de la tecnología de la información, respaldada por la inteligencia artificial y el desarrollo de la tecnología de internet. En consecuencia, la economía digital se ha convertido en una fuerza que impulsa el crecimiento económico estable, y con ello la mejora de la calidad de vida de las personas. Sin embargo Estados Unidos es una de las naciones que más contaminantes generan principalmente por las emisiones de gases de efecto invernadero, llegando a alcanzar los 4.752,079 megatoneladas de CO2 en el 2021.</p><p style="text-align: center;">Gráfico 1. Relación entre el PBI real de EEUU y emisiones de gases de efecto invernadero, 1996-2021</p><p style="text-align: center;"><span id="docs-internal-guid-e7b5b89f-7fff-b899-c476-b5a5ed46cd72"><span style="font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh3.googleusercontent.com/Z68D0du3US19yDahURAM0BvEsTdKcsMC__w2lhbeA8kT2jzUxhevB1MqwOZVKIw-6oqt1zPnSv35JseG06lSOT9QhigeA7S7MRJC-2uac3FMawgsvV80PQ-Dafc84nIlzXP7LbAmObvPWWpEH8KbV1s" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><div><div style="text-align: center;">Fuente: FRED y Banco Mundial | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">Por lo tanto, mejorar la calidad del entorno ecológico y promover el desarrollo sostenible se ha vuelto inevitable para el desarrollo de las ciudades de Estados Unidos. En tal sentido, medir la calidad urbana toma mayor relevancia, debido a que está de alguna manera evidencia el desarrollo socioeconómico sostenible de las ciudades a partir de tres dimensiones: Estado del ambiente ecológico, grado de contaminación del ambiente ecológico, y la capacidad de gobernanza del ambiente ecológico (Huang et al., 2023). </div><div style="text-align: justify;">Por otro lado, la economía digital brinda soporte tecnológico en el proceso de producción industrial, lo que reduce las emisiones de los gases de efecto invernadero. No obstante esta no tiene un estándar unificado para la medición, sin embargo, muchos académicos la definen y miden utilizando el desarrollo de Internet y las finanzas digitales.</div><div style="text-align: justify;"><br /></div><div style="text-align: center;">Gráfico 2. Relación entre las emisiones de CO2 y usuarios de Internet en EEUU, 1990-2021</div></div><div style="text-align: center;"><br /></div><div style="text-align: center;"><span id="docs-internal-guid-0cac1f02-7fff-ea6a-5bf2-0d7fbd2fb5a3"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/4NR0vLZi-P6eIYWGKm75UFHHhP-Pf2etUPLJ7KwQFRF0NthuLvPgc5bVVCQLXRL6M2eBkEyWWnfWLxu4Jnwfklo9bp0QI42U0jTZAdhuwh2b1xVDanhSQ3Zlqmo0se9-DRv5U41jiVpH9exaR1f8IAM" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: FRED y Banco Mundial | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">El gráfico 2, muestra una relación en forma de U invertida, es decir que el incremento del número de personas que usan internet y las emisiones de CO2 se relacionan de manera positiva, pero luego esta correspondencia pasa a ser negativa. Esto haría entrever que la asociación directa entre desarrollo económico y emisiones de gases de efecto invernadero parece haberse roto.</div><div style="text-align: justify;"><br /></div><div style="text-align: center;">Gráfico 3. Correlación entre las emisiones de CO2 y usuarios de Internet en EEUU, 1990-2020</div></div><div style="text-align: center;"><br /></div><div style="text-align: center;"><span id="docs-internal-guid-c8966964-7fff-4673-1662-88eb7dcd010d"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/FTQ3Sn2v54WvkChFhtFmP8vJp_jYypOBz605P6uJnOdkjxe6wXB08WFSs05ENyALOhOxj2vK0f8cg5mMGGsE5loPQMlcaEJpI376s5UVsaZmc1Iiihm2fy8bcdV67ubAaARPCnVlhGqnExUviXq-4Y8" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: FRED y Banco Mundial | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">El gráfico 3, muestra la correlación entre el crecimiento de personas que usan internet y la cantidad de emisiones de CO2 desde el 1990 hasta el 2020 siendo este de r = 0.1470. Sin embargo el coeficiente de correlación entre los años 2010 al 2020 es negativa con un valor de r = -0.7294. Esto puede deberse, separadamente a la reducción del número de observaciones y datos atípicos; a que la innovación tecnológica promueve la mejora de la calidad del entorno urbano, incrementando el nivel intelectual de los equipos de producción. Del mismo modo, el uso de internet y otras tecnologías digitales es de gran utilidad para obtener información y conocimiento, promoviendo la existencia de una industria inteligente que promueve la mejora de la calidad urbana.</div></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><br /></div><span><a name='more'></a></span><div style="text-align: justify;"><div>Huang, S., Han, F., & Chen, L. (2023). Can the Digital Economy Promote the Upgrading of Urban Environmental Quality? J. Environ. Res. Public Health , 20(3). doi:https://doi.org/10.3390/ijerph20032243</div><div>U.S. Bureau of Economic Analysis, Real Gross Domestic Product [GDPC1], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/GDPC1, March 6, 2023.</div><div>U.S. Energy Information Administration, Total Carbon Dioxide Emissions From All Sectors, All Fuels for United States [EMISSCO2TOTVTTTOUSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/EMISSCO2TOTVTTTOUSA, March 6, 2023.</div><div>World Bank, Internet users for the United States [ITNETUSERP2USA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/ITNETUSERP2USA, March 6, 2023.</div></div><div><br /></div>Joseph Huisacayna Sanahttp://www.blogger.com/profile/18265397665837334556noreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-91811362833653809932022-10-19T17:14:00.003-05:002022-10-19T17:25:23.160-05:00¿Relación entre la inversión privada y el tipo de cambio real?<p style="text-align: justify;"> El Banco Central de Reserva del Perú (BCRP) interviene en el mercado cambiario con la finalidad de reducir la excesiva volatilidad del tipo de cambio, que puede causar un deterioro en los balances de los agentes económicos con un descalce de monedas al afectar su liquidez y solvencia, sin embargo esta intervención no busca fijar o afectar su tendencia, ya que esta depende de los fundamentos de la economía.</p><p style="text-align: center;">Figura 1: Relación entre la inversión privada y el tipo de cambio real en el Perú, Q1_2000-Q2_2022</p><p style="text-align: center;"><span id="docs-internal-guid-622a4876-7fff-1c13-bff1-bd6c8bcb9176"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh4.googleusercontent.com/yFKW5irDBB9OS7X13-3fgC2uKvWQsd37f8elxos35YyhNy3Mbck-OM2zY7R4cRQ-kqZivmkpjUtsycPk1mvF0QHDeDOI5N1ZW77lHJzjjMu9SvYg6uY5ZNqqojZAyPTP3a7LqXZXwIaGrtVuAbWrYqCKmzzyQgDKA56m-NFhy8c5hNXfU1VmAxNKSw" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><div><div style="text-align: center;">Fuente: BCRP | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;">En la figura 1, se observa el comportamiento de la inversión privada y el tipo de cambio real efectiva, donde la inversión privada ha tenido un comportamiento creciente, por lo contrario del tipo de cambio real efectiva, que tiene un comportamiento irregular y decreciente en los últimos años.</div></div><div><div style="text-align: center;">Figura 2: Diagrama de dispersión y Recta tendencia entre la inversión privada y el tipo de cambio real en el Perú.</div></div><div style="text-align: center;"><span id="docs-internal-guid-d6fcd3be-7fff-3b83-e709-879b7783491c"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/pg910JU5HbEWu9HQyF0f0mhjFc3_Nr64u_eIaXyb6BBAK_dx3CcZgL0KjHUY8QY772s1C1JkLxVkAGEx-G7VwTFtR1UwOFV14gccSwoKVND_7pD37c1KR6t3U0NLaBPA3_gPYWueOLOsKMv8Md8jx1IRziiXvVwaF1JyvF6AOZdjGfLxC-zmZklQIQ" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: BCRP | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;">En la figura 2 se observa que la relación entre la inversión privada y el tipo de cambio real efectiva, es negativa, con un coeficiente de correlación de -0.1200. Asimismo, al no considerar la presencia de datos atípicos (out layers) provocados por el Covid-19, esta correlación se incrementa a -0.6051, este resultado es inesperado, ya que según la teoría económica debió existir una relación positiva, esto debido que que una devaluación real, en los países en desarrollo, en los cuales utilizan en sus proyectos de inversión bienes de capital (aquellos utilizados para llevar a cabo el proceso de producción) importados, tiene un efecto a través de su rentabilidad; mediante el impacto de precios relativos de los bienes de capital, que son una combinación de bienes de origen nacional (construcción, infraestructura) y componentes extranjeros (maquinaria y equipo) .</div></div><div><div style="text-align: justify;">Asimismo en la figura 3, observamos la relación existente entre la primera diferencia entre la inversión privada y la primera diferencia del tipo de cambio real efectiva, cambia a positiva, y su coeficiente de correlación es de 0.300. Del mismo modo si sólo se considera el periodo de pre Covid (2000q1 a 2019q4) la relación vuelve a ser negativa con un coeficiente de correlación mucho menor, con un valor de -0.0657.</div><div style="text-align: center;">Figura 3: Diagrama de dispersión y Recta tendencia entre la primera diferencia de la inversión privada y el tipo de cambio real en el Perú.</div></div><div style="text-align: center;"><span id="docs-internal-guid-8afa97b4-7fff-7461-a7d1-2e6ab4c4408b"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/Bn9HgqpozlcvdydZXZjRoNBsYttNpovcIE9x8SVWM7wKT2iQgyDhez2Mfpf3ptcGe4Wjw7V1T0PbRCk-f260yeE2hfH8wPS1Uw_uu7ScWplN6OFcZpa0DBcynYvD2dJ3PBr1U-bsRyLDZrGQXyNGn_E_-OHWVu2UFEUi3w27-wPuzRhM70x22g4bcw" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div style="text-align: center;"><br /></div><div><div style="text-align: center;">Fuente: BCRP | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;">Por lo que esta correlación inversa puede deberse a que en el sector de los bienes transables (un bien transable es aquel bien que puede ser comerciado internacionalmente para un nivel dado de tipo de cambio), ocurre lo contrario a los bienes de capital, debido a que el costo real de los nuevos bienes de capital caen y la inversión aumenta, por lo que el resultado de la inversión total es de ese modo incierto.</div></div><div><div style="text-align: justify;">Por otro lado, la explicación negativa del tipo de cambio también podría estar relacionada por las diferencias en la aproximación en la construcción del tipo de cambio real. En cambio, la tasa de interés activa en moneda nacional es coherente con los resultados de estudio, incluso con estudios de carácter internacional.</div><div style="text-align: justify;">A pesar de esta ambigüedad teórica, muchos estudios empíricos han concluido que, en el corto plazo, una depreciación tiene un impacto adverso en la inversión a través de su efecto sobre el costo de los bienes de capital, aunque a largo plazo su efecto puede ser positivo.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Cordero, J. y Muñoz, R. (2018). Incidencia del tipo de cambio real en la inversión de las empresas en el Perú para el periodo 2002-2017. [Tesis de Pregrado, Universidad Privada Antenor Orrego]. <a href="https://repositorio.upao.edu.pe/bitstream/20.500.12759/4354/1/RE_ECON_JAIME.CORDERO_RA%c3%9aL.MU%c3%91OZ_INCIDENCIA.DEL.TIPO.DE.CAMBIO_DATOS.PDF">https://repositorio.upao.edu.pe/bitstream/20.500.12759/4354/1/RE_ECON_JAIME.CORDERO_RA%c3%9aL.MU%c3%91OZ_INCIDENCIA.DEL.TIPO.DE.CAMBIO_DATOS.PDF</a></div></div><div style="text-align: justify;"><div style="text-align: justify;">Calla, N. (2022). Analisis de los factores determinantes de la inversión privada en el Perú, Periodo 2000 - 2019. [Tesis de Pregrado, Universidad Nacional del Altiplano] <a href="http://repositorio.unap.edu.pe/bitstream/handle/UNAP/18788/Ccalla_Ito_Nelly.pdf?sequence=3&isAllowed=y">http://repositorio.unap.edu.pe/bitstream/handle/UNAP/18788/Ccalla_Ito_Nelly.pdf?sequence=3&isAllowed=y</a></div><div><br /></div></div><div style="text-align: justify;"><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-49751401520592842142022-10-11T10:05:00.004-05:002022-10-11T10:38:19.874-05:00¿Qué es el Balanced Scorecard?<div style="text-align: justify;">Las empresas de la actualidad requieren estar en constante aprendizaje y crecimiento debido a que el mercado está en persistente competencia, así como los competidores, es por eso que para resaltar una organización debe volverse más eficiente y eficaz teniendo claro dónde quiere estar de la mano de las estrategias que se desplieguen para ello.</div><div style="text-align: justify;">Es aquí donde toma papel el balance Scorecard como un instrumento para la gestion administrativa por medio de la evaluación, aumentando el desarrollo y competitividad de las empresas mejorando constantemente y manteniendo un enfoque de las estrategias con la empresa y definiendo cada uno de los objetivos.</div><div style="text-align: justify;">Gira en torno a definir objetivos de la mano de planes de acciones y planteando 4 ejes temáticos los cuales son:</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">1. Financiera </div><div style="text-align: justify;">2. Clientes </div><div style="text-align: justify;">3. Procesos internos </div><div style="text-align: justify;">4. Aprendizaje y crecimiento </div><div style="text-align: justify;"><br /></div><div style="text-align: left;">Se tiene una vision amplia y general para desarrollar estrategias ejecutando una relacion entre cada una de las perspectivas y midiéndolas con indicadores.</div><div style="text-align: left;">De esta forma se va logrando crear una ventaja competitiva para la empresa implementando de manera correcta las estrategias ya que muchas veces se quedan solo en ideas y gracias al BSC se logra alinear la organización, sus estrategias y las metas trazadas.</div><div style="text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiRVzm9V4UcLrioIN5z_dbWSgaEnT4kMsrFxLjEq8r89aAwGRw9q9eTleE7NcHjPXDm9k5Ta66u-EDDteY95LVNsx33s7QWz984dR3qlr6ffpEWYLmGQAuENPdNdMTIbCv9yC84gUiETcdE3VXMEduAk77ZdyY7II2U7qTCzdkp1YJoVnbpEfS42xr6/s5029/kaleidico-26MJGnCM0Wc-unsplash.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3353" data-original-width="5029" height="213" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiRVzm9V4UcLrioIN5z_dbWSgaEnT4kMsrFxLjEq8r89aAwGRw9q9eTleE7NcHjPXDm9k5Ta66u-EDDteY95LVNsx33s7QWz984dR3qlr6ffpEWYLmGQAuENPdNdMTIbCv9yC84gUiETcdE3VXMEduAk77ZdyY7II2U7qTCzdkp1YJoVnbpEfS42xr6/s320/kaleidico-26MJGnCM0Wc-unsplash.jpg" width="320" /></a></div><br /><div style="text-align: left;"><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-80154654134002124392022-09-29T19:44:00.004-05:002022-11-14T00:11:52.853-05:00¿Relación entre la tasa de interés del BCRP y la tasa de referencia de Estados Unidos?<p style="text-align: justify;">Los esquemas de política monetaria de las tasas de referencia del BCRP, responde a los determinantes futuros de la inflación para actuar de manera anticipada y efectiva. En este sentido, al afectar la brecha producto, el tipo de cambio y la inflación importada, los factores internacionales, como la tasa de interés de la FED pueden tener un efecto indirecto en la tasa de política monetaria del BCRP. Sin embargo, lo anterior no implica que incrementos de la tasa de interés de la FED generen incrementos automáticos de la tasa de interés del BCRP.</p><p style="text-align: justify;">En el gráfico, se aprecia que, los cambios de la tasa de la FED y del BCRP coinciden en dirección únicamente cuando la evolución de sus ciclos económicos y la inflación son similares. Así, en 2008-2009 y la crisis del Covid-19, tanto el BCRP como la FED, redujeron sus tasas de interés de política monetaria. En esta oportunidad, la actividad económica se desaceleró significativamente, lo mismo que la inflación, lo que requería una posición expansiva de política monetaria en ambos países. La correlación entre ambas tasas de política monetarias desde septiembre del 2003 hasta septiembre del 2022 es del 27.12 por ciento.</p><p style="text-align: center;">Gráfico 1: Relación entre la tasa de referencia del BCRP y la tasa de interés de la FED, Set_2003-Set_2022</p><p style="text-align: center;"><span id="docs-internal-guid-b7f9c859-7fff-ddf6-66b3-f18b2033ebd7"><span style="background-color: white; color: #262626; font-family: Arial; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/VOhZEcn4-RcEuvxfZpziz4dkNgYyhdoH2hRuvhi1NIcjl2BKzxnf7y1WCSGA4q9tUx2Os7x0ZXyTWAj6BEPADiTQQ4FZdVhV4m7wB-FZxKbVyVatUwKVLoq89OyARSt7snvLL2hX7_tKdzlNj5AyCkyP-J2OghZQLQh8-5N2VO55dW5nDtfmH2rpOA" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><div><div style="text-align: center;">Fuente: FRED y BCRP | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Pero, ¿qué efectos tendrá esta medida en la economía peruana?</div><div style="text-align: justify;">El aumento en las tasas de interés de Estados Unidos podría afectar las vidas de millones de personas de los países en desarrollo, tal es el caso de Perú, que a medida que se generan presiones inflacionarias causan una pérdida de valor de sus monedas, acelerando la salida de capitales hacia Estados Unidos, que buscan mayores rentabilidades, pues los grandes inversores considerarán comprar más bonos estadounidenses al verlos como un activo más atractivo.</div></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><span id="docs-internal-guid-9ed6de25-7fff-98ed-fafa-584ef89b6050"><span style="background-color: white; color: #262626; font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Castillo y Pérez (2019). La política monetaria del BCRP y la tasa de interés FED. Disponible en: </span><a href="https://www.bcrp.gob.pe/docs/Publicaciones/Revista-Moneda/moneda-177/moneda-177-01.pdf" style="text-decoration-line: none;"><span style="background-color: white; color: #1155cc; font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">https://www.bcrp.gob.pe/docs/Publicaciones/Revista-Moneda/moneda-177/moneda-177-01.pdf</span></a><span style="background-color: white; color: #262626; font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"> </span></span></div><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-18703438000893893672022-09-05T21:35:00.000-05:002022-09-05T21:35:05.986-05:00¿La deuda corporativa provoca más picos financieros que la acumulación de deuda de los hogares?<p style="text-align: justify;"> La rápida acumulación de la deuda pública a menudo tiene un impacto devastador en el sistema financiero y la economía real, asimismo la deuda privada puede ser igualmente pronunciada, como se vio en la crisis financiera global de 2008-2009, donde la deuda aumentó en un 98 % del PIB, acompañada por una rápida acumulación de deuda de los hogares en los Estados Unidos, que trastornó gravemente el sistema financiero global y la economía mundial. </p><p style="text-align: justify;">Muchos economistas argumentan que la Gran Recesión fue magnífica porque el apalancamiento de los hogares era muy alto en ese momento. Desde entonces ha disminuido constantemente, y de hecho, en 2019, la deuda de los hogares y la deuda corporativa fueron las más cercanas en casi 30 años.</p><div><div style="text-align: center;">Relación entre la deuda corporativa y la deuda en los hogares, Q1_1990_Q1_2022</div></div><div style="text-align: center;"><br /></div><div style="text-align: center;"><span id="docs-internal-guid-b5b4e2d9-7fff-d338-4f6a-27b6c64d8c5c"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/Ly6iKKstBN1m5Uk0N4c_b3EBU_ahMAp1QmfZ5Gqvobc_V5w8UVOkAhRLbiKtN2pY8JGECy5mPZh6FaKEZaI9FX-JZGrcxLVwJFX2r5Mj5_tSprTqcMn22utf3Qe0rn6iefUfLD42Qguqd4-98hC8MG0wsR47chsQKz7EQHalgeVSem51djqHtvfuDg" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">El gráfico anterior muestra ambas series como porcentaje del PIB: deuda de los hogares y deuda corporativa. La deuda de los hogares ha superado a la deuda corporativa desde principios de la década de 1990, y esta diferencia fue particularmente grande en los años previos a la crisis financiera de 2008. Por ejemplo, en el tercer trimestre de 2006, la deuda de los hogares superó a la deuda corporativa hasta en 31% del PIB. Sin embargo, en los años transcurridos desde la Gran Recesión, la deuda de los hogares estadounidenses ha disminuido constantemente. Este descenso, acompañado de un aumento del endeudamiento empresarial desde 2012, ha reducido la brecha entre el endeudamiento de familias y empresas. De hecho, en el último trimestre de 2019, la deuda de los hogares y la deuda empresarial rondaban el 74% del PIB.</div><div style="text-align: justify;">Hay muchos tipos de deuda de los hogares: hipotecas, préstamos estudiantiles, préstamos para automóviles, préstamos de tarjetas de crédito, etc. Sin embargo, si se descompone la deuda de los hogares en algunas de estas categorías se observa que la disminución de la deuda de los hogares se debe principalmente a la disminución de las hipotecas.</div><div style="text-align: justify;">Es importante señalar que el crecimiento de la deuda privada no es necesariamente motivo de preocupación en sí mismo, especialmente en las economías de mercado emergente con sectores financieros relativamente subdesarrollados. La expansión de la deuda privada puede simplemente reflejar el desarrollo del sistema financiero desde una base baja. No obstante, la rápida expansión insostenible de la deuda privada puede desencadenar inestabilidad financiera y, en última instancia, perjudicar el crecimiento económico. Por ejemplo, el apalancamiento excesivo de las empresas y los hogares puede inflar los precios de los activos. Cuando estalle la burbuja, los bancos y otras instituciones financieras sufrirán una oleada de préstamos incobrables y, por lo tanto, prestarán menos, perjudicando la inversión y el consumo. </div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Donghyun, P.;Kwanho, S. y Shu, T. (2018). Household Debt, Corporate Debt, and the Real Economy: Some Empirical Evidence. ADB Económics Working Paper Series, (568), 1-51. DOI: <a href="http://dx.doi.org/10.22617/WPS189775-2">http://dx.doi.org/10.22617/WPS189775-2</a></div></div><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-12177706499227633502022-08-29T20:40:00.000-05:002022-08-29T20:40:11.994-05:00¿Estacionalidad en las importaciones de China a Estados Unidos?<p style="text-align: justify;"> En una serie de tiempo, la estacionalidad es un patrón regular de cambios que se repite cada (s) períodos. Por lo que el gráfico anterior muestra la estacionalidad del valor mensual de las importaciones de China en dólares estadounidenses a EE.UU., este precio no incluye aranceles de importación, flete, seguro y otros cargos relacionados con el ingreso de mercancía a los Estados Unidos.</p><p style="text-align: center;">Gráfico 1: La estacionalidad de las importaciones chinas, Ene_2000-Nov_2021</p><div><div class="separator" style="clear: both; text-align: center;"><span style="border: none; display: inline-block; height: 437px; margin-left: 1em; margin-right: 1em; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/VFL-cziKWjKo7UC5UsSxQfSjDhC4pCMFqm83vVTyU52AhDng9FrOFwJcuUo9HcXVIRZmNkcFFtHi7YyGULlDfiRYvLIDf87ZYYh_D4VzK3tmrvwqOdL1-4E6Iyrj9K0TJpJrq_8xP4-CCqnnZGQb2Es9dsR-hPebdN_v2xC6bo3xI3fzfWfN4vk2BQ" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></div><div><span id="docs-internal-guid-bb10d758-7fff-0091-cfc7-8fc2f0dcde17"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"></span></span></div><div style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">El patrón mensual repetido de los altibajos de las importaciones de China a Estados Unidos contrasta con que muchos productos llegan a los puertos y centro de envió en octubre, mientras que en febrero y marzo llegan mucho menos productos.</div><div style="text-align: justify;">Los datos no ofrecen un desglose por tipo de bien importado, por lo que no podemos decir si los productos chinos están disponibles para comprar solo en la última parte de cada año. Pero el momento de las importaciones está justo antes de la temporada minorista más activa del año, las vacaciones de Navidad; eso sugiere que estos son bienes de consumo que probablemente se comprarán como regalos.</div></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><div>Méndez-Corbajo, D. (27 de enero del 2022).La estacionalidad de las importaciones chinas</div><div>¿Santa Claus compra en China?. Encontrado en Blog de Fred en :<a href="https://fredblog.stlouisfed.org/2022/01/the-seasonality-of-chinese-imports/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog">https://fredblog.stlouisfed.org/2022/01/the-seasonality-of-chinese-imports/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog</a></div></div><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-25695208594988217502022-08-25T18:14:00.000-05:002022-08-25T18:14:36.734-05:00¿Se aproxima una inevitable recesión en Estados Unidos?<p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">El exceso de los estímulos por la pandemia, los atascos en la cadena de suministros por las restricciones de China y la invasión de Rusia a Ucrania y entre otros factores, han disparado la inflación a niveles no vistos en décadas, por lo que la Reserva Federal (FED), ha anunciado los mayores aumentos de las tasas de interés desde 1994 con la finalidad de controlar la inflación.
No obstante, entre los economistas y banqueros las opiniones están divididas respecto a si el mundo va a una recesión o si solo se trata de una desaceleración económica. Recordemos que muchos economistas hablan de una “recesión técnica”, cuando se contrae el crecimiento del Producto Interno Bruto (PIB), durante dos trimestres consecutivos, como es el caso del PIB de Estados Unidos que desde el segundo trimestre de 2022, experimentó una caída del 0,2%, tras ya haber contraído un 0,4% en los tres primeros meses del año, sin embargo, la tasa de desempleo para EEUU descendió a 4% en el cuarto trimestre del 2021 y 3.5% para el segundo trimestre del 2022.</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="background-color: transparent; color: black; font-family: 'Old Standard TT',serif; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap; white-space: pre;"><br /></span></p><div style="text-align: center;"><span id="docs-internal-guid-f6e3cba9-7fff-f6e0-4400-4affac033fb4"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Gráfico 1: Relación entre el PIB y la Tasa de Desempleo en EEUU, Q1_2000-Q2_2022</span></span></div><div style="text-align: center;"><span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><div class="separator" style="clear: both; text-align: center;"><span id="docs-internal-guid-df52818d-7fff-d560-7589-512171c183fe"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"></span></span><span id="docs-internal-guid-44ebc989-7fff-245d-5bd2-4574e1c40936"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/QDvgnlctEuj23g6ypAvULcZ6w_7ECNGriSLUJBuKucq8MSeyt19hi-jk-m7P3pIP6y4mQ0CCF3DcZgxk-fNwlE94gjlFq35ZzzL5mDq1cZKz5O4kNCtBeIUH1j7mGOmi35V-9dVsm9MDD38RsqYHiX9BFqtRu_7UthE4FQJx_x8xD-L3X27Uc7K5oQ" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div></span></span></div><div style="text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: center; white-space: pre-wrap;">Fuente: FRED | Elaboración: EMECEP Consultorías</span></div><div style="text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: center; white-space: pre-wrap;"><br /></span></div><div><span id="docs-internal-guid-f04eaf06-7fff-5dc3-ce2e-3cbc1cc25fc0"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Estos resultados fueron desestimados por algunos economistas y los han considerado como “ruido”, refiriéndose así a cualquier dato económico que no se ajuste a la narrativa predominante, de la misma manera volvieron usar la palabra cuando la FED anunció que el índice de precios al consumo no varió en julio con respecto al mes anterior. Asimismo, la palabra ruido se volvió a usar cuando el Departamento de Comercio de EEUU indicó que las ventas minoristas usadas como grupo de control, aumentaron más de lo previsto, afectando el cálculo del PIB.
Esto indica que, si bien hay volatilidad en los datos económicos, también existen anomalías ocasionales, ocasionando que algunos cálculos de estacionalidad se desvíen debido a estos acontecimientos extraordinarios, por lo que muchos economistas se fijan el más medias móviles para obtener una imagen real de las tendencias.
En definitiva, para realizar estos modelos se podría descartar estos datos atípicos o bien aplicar nuevos modelos basados en machine learning, debido a que pasarán varios años para que volvamos a un ciclo económico normal.
BBC News Mundo. (27 de junio de 2022). ¿Es inevitable una recesión? Lo que piensan 4 economistas. Obtenido de <a href="https://www.bbc.com/mundo/noticias-61875111#:~:text=Y%20lo%20que%20nos%20espera,decretar%20una%20%22recesi%C3%B3n%20t%C3%A9cnica%22">https://www.bbc.com/mundo/noticias-61875111#:~:text=Y%20lo%20que%20nos%20espera,decretar%20una%20%22recesi%C3%B3n%20t%C3%A9cnica%22</a>
Simonetti, I., & Chokshi, N. (30 de junio de 2022). Obtenido de ¿Qué son las recesiones y cuánto duran?: <a href="https://www.nytimes.com/es/2022/06/30/espanol/recesion-economica-2022.html">https://www.nytimes.com/es/2022/06/30/espanol/recesion-economica-2022.html</a>
</span></span></p><div style="text-align: justify;"><br /></div><div><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><br /></span></div></span></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-64723383528318079222022-08-04T08:25:00.003-05:002022-08-04T08:25:39.805-05:00¿Relación entre el crecimiento económico y el uso de internet?<p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"> La crisis provocada por el COVID-19 ha modificado los hábitos con relación al consumo, el trabajo, estudios e incluso las relaciones interpersonales. </span><span style="vertical-align: inherit;">Y en este último año, la tecnología se ha fabricado para las personas un recurso eficaz, no solo a nivel social sino también familiar y académico.</span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Las altas tasas de crecimiento en el uso de internet durante el 2020, podría hacer pensar que el 2021, mostraría una desaceleración a medida que las restricciones por el coronavirus se fueron levantando, no obstante, el número de usuarios del uso de internet sigue creciendo, Incluso a un ritmo mucho más acelerado que en épocas de pre pandemia, tal como se muestra en la gráfica 1.</span></span></p><div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Gráfico 1: Relación entre las tasas de uso de Internet en la población y el PIB per cápita en el Mundo, 1990 _ 2021</span></span></div></div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span id="docs-internal-guid-05483fc3-7fff-e57f-ed7b-17641e2c5ac8"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh3.googleusercontent.com/Lf66NzRlMKvC3BQpuYuB0u92FYtGK1yvTXnpyp_Ajdp3uuA3y4QDZ2F18wjdQz_fS6Ueqy6KHk90F5iZ1O4BC5Rtvnn7qljNyK_gZDgmbQMleLz9h7TtximZgVhtJNAfySI6I3WjnfGHxHWJ4UVfysk" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></span></span></div><div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: Banco Mundial | </span><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías</span></span></div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Si, conectamos las tasas de crecimiento en el uso de internet con el logaritmo natural del PIB per cápita del mundo, desde los años 1990 a los 2020, observamos que existe una conexión positiva y fuerte de 0,9504. </span><span style="vertical-align: inherit;">Esta relación estrecha corresponde a que el acceso a internet requiere una inversión en capital físico, por lo que es bastante </span></span></div></div><div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">esperable un coeficiente de conexión bastante alto. </span><span style="vertical-align: inherit;">La siguiente gráfica también muestra el mismo grado de relación para el caso de Perú, en el periodo de 1990 a 2020.</span></span></div><div style="text-align: justify;"><br /></div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Gráfico 2: Relación entre las tasas de uso de Internet en la población y el PIB per cápita en el Perú, 1990 _ 2020</span></span></div></div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span id="docs-internal-guid-d219182f-7fff-fb23-dca3-6fefa5cb9e69"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/H01BzSDQezyauw4WXu_5LnrFuYpfoqfRv-qsRj2TFx1EaTBjsGhFE3Pa6GN2osdlil8O_WvPZiu1Hu7JRNLtZsbyvDJ6Ho_h7TVhl-D-YZqvpuZoUCz7wD35Z7yTTwnty6Jd3nFUm4e6SBxM2xBpJwI" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></span></span></div><div><div style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: Banco Mundial | </span><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías</span></span></div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">La digitalización conlleva, el acceso a grandes cantidades de información, a la aparición de nuevos excedentes del consumidor en las plataformas en línea, en particular, a las redes sociales, sistemas de opensource y demás servicios y productos gratuitos, que no se registra en el PIB, creando una discusión entre la productividad y el PIB en una era digital, para poder establecer modelos modernos para la estimación del bienestar a través de la demanda de los productos online, y al mismo tiempo contribuir con la nueva teorización de modelos de acumulación de data como un comportamiento similar a la acumulación del capital.</span></span></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">González, J. (2020). </span><span style="vertical-align: inherit;">Crecimiento económico y difusión tecnológica: el caso del</span></span></div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Internet de banda ancha. </span><span style="vertical-align: inherit;">[Tesis de maestría, El Colegio de la Frontera Norte] <a href="Fuente: Banco Mundial | Elaboración: EMECEP Consultorías La digitalización conlleva, el acceso a grandes cantidades de información, a la aparición de nuevos excedentes del consumidor en las plataformas en línea, en particular, a las redes sociales, sistemas de opensource y demás servicios y productos gratuitos, que no se registra en el PIB, creando una discusión entre la productividad y el PIB en una era digital, para poder establecer modelos modernos para la estimación del bienestar a través de la demanda de los productos online, y al mismo tiempo contribuir con la nueva teorización de modelos de acumulación de data como un comportamiento similar a la acumulación del capital. Gonzáles, J. (2020). Crecimiento económico y difusión tecnológica: el caso del internet de banda ancha. [Tesis de maestría, El Colegio de la Frontera Norte] https://www.colef.mx/posgrado/wp-content/uploads/2020/12/TESIS-Gonz%C3%A1lez-Castillo-Juan-Manuel-MEA.pdf Mendez-Carbajo, D. (26 de abril 2021). Who’s online? Mapping Internet use around the world. Obtenido de The Fred Blog en: https://fredblog.stlouisfed.org/2021/04/whos-online-mapping-internet-use-around-the-world/">https://www.colef.mx/posgrado/wp-content/uploads/2020/12/TESIS-Gonz%C3%A1lez-Castillo-Juan-Manuel-MEA. pdf</a></span></span></div><div style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Méndez-Carbajo, D. (26 de abril de 2021). </span><span style="vertical-align: inherit;">¿Quién está en línea? </span><span style="vertical-align: inherit;">Mapeo del uso de Internet en todo el mundo. </span><span style="vertical-align: inherit;">Obtenido de The Fred Blog en: <a href="https://fredblog.stlouisfed.org/2021/04/whos-online-mapping-internet-use-around-the-world/">https://fredblog.stlouisfed.org/2021/04/whos-online-mapping-internet-use-around-the-world/</a></span></span></div><div><br /></div></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-20193977357898629512022-08-02T04:27:00.005-05:002022-08-02T04:30:13.685-05:00La crisis del sector hidrocarburos, ¿ha sido creada por la indiferencia de los Gobiernos?<p style="text-align: justify;"> La actual crisis del sector hidrocarburos es de las más graves. En la década de los 90 el Perú producía 200 mil barriles por día, hoy produce entre 30 y 40 mil barriles por día. De las 18 cuencas sedimentarias que se encuentran en Perú, solo uno es explotadas eficientemente y cuatro de ellas son explotadas de manera ineficiente y el resto de las cuencas ni si quiera han sido estudiadas.</p><p style="text-align: justify;">La selva peruana podría producir hasta 100 mil barriles por día, pero la Estación 5 de Loreto del oleoducto Nor-Peruano, esta tomada por la población y en consecuencia no hay producción y lo poco que hay se exporta. Este problema nace de la indiferencia de los últimos gobiernos.</p><p style="text-align: justify;">A nivel internacional, en ciertos lugares de Europa existen límites en el uso de combustible que proviene del petróleo. Se comenta que para le 2030 y 2040 se prohíba el uso del derivado de petróleo como el carbón, combustibles pesados y el diésel.</p><p style="text-align: justify;">Por otro lado el Perú tiene gran potencial en hidrocarburos mas en la explotación, sim embargo estos en algunos años no tendrán valor porque se dejaría de utilizar, por lo mencionado anteriormente. La responsabilidad recae en el Estado y las empresas encargadas de la explotación del petróleo en el Perú, que no han sido capaces de socializar los proyectos adecuadamente.</p><p style="text-align: justify;">Un ejemplo de esto es la toma de la Estación 5, por las comunidades cercanas al proyecto alegando que el estado no les brindó los recursos suficientes. Al quedar en paro la producción de dicha estación, no se pudo obtener los beneficios dados por el canon, siendo este es uno de las mayores fuentes de ingreso para las comunidades beneficiarías. Esto ha incentivado a la población a la ilegalidad, ya que se producen actividades que violan las normas ambientales y laborales.</p><p style="text-align: justify;">Los cambios que se han generado en el ministerio de Energía y Minas, han provocado que no se siga una política continua y seria en en sector de hidrocarburos, ocasionando atrasos y pérdidas para las empresas que se dedican a esta actividad, alejando de esta manera la inversión extranjera.</p><p style="text-align: justify;">Valdivia, G. N. (12 de 10 de 2021). La crisis del sector hidrocarburos ha sido creada por la indiferencia de los Gobiernos. Obtenido de Sociedad Nacional de Minería, Petróleo y Energía. Todos los derechos reservados: <a href="https://www.desdeadentro.pe/2021/11/la-crisis-del-sector-hidrocarburos-ha-sido-creada-por-la-indiferencia-de-los-gobiernos/">https://www.desdeadentro.pe/2021/11/la-crisis-del-sector-hidrocarburos-ha-sido-creada-por-la-indiferencia-de-los-gobiernos/</a></p>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-12326533462784615652022-07-27T19:57:00.002-05:002022-07-27T19:59:36.568-05:00¿Incremento en las ganancias corporativas, a pesar de los aumentos en los costos de producción?<p style="text-align: justify;"> La recesión y la recuperación de la pandemia de COVID-19 provocó el alejamiento general del consumo de servicios hacia el consumo de bienes duraderos, exponiendo vulnerabilidades en la actual estructura productiva de estos bienes. </p><p style="text-align: justify;">Durante las últimas décadas, la producción de bienes duraderos se ha vuelto más fragmentada, dependiendo en gran medida de la cadena de valor global (GVC). Por ejemplo, las empresas ahora pueden subcontratar partes de sus procesos de producción a otros países, en lugar de realizarlo todo de manera interna. De esta manera, la empresa que contrata el servicio puede fijar todos sus esfuerzos en un objetivo establecido, para incrementar la rentabilidad del negocio en sí. </p><p style="text-align: justify;">Tal como se puede apreciar en la gráfica 1, las ganancias corporativas han estado creciendo a tasas sin precedentes, a pesar de que la inflación en los precios al productor también ha aumentado considerablemente. Asimismo, las ganancias corporativas antes de impuestos incrementaron en un 51 % entre el cuarto trimestre de 2019 y el primer trimestre de 2022. Durante el mismo período, la inflación del índice de precios al productor (IPP) en la manufactura aumentó un 21,2 %. </p><p style="text-align: center;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Relación entre las ganancias corporativas y los costos de producción, Q1_2016-Q2_2022</span></span></p><p style="text-align: center;"><img height="437" src="https://lh4.googleusercontent.com/5picactOafIkQbk8xrDkX1rhRDBsQl9GqB5fvwyOuISBcmtSMq0v0uneaB__LhFrh8EkdPiQMqN9TC941wZ5W8_bwNpX_Cpg_aJFZftSdrXEl0vDWW-5mj6IoEhbcq6TFeZwVS3F230oiEzAZGl90YA" style="font-family: "Old Standard TT", serif; font-size: 12pt; margin-left: 0px; margin-top: 0px; white-space: pre-wrap;" width="602" /></p><p style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</p><p style="text-align: justify;">Conocer todo esto, es sumamente importante, ya que la inflación del IPP mide los cambios en los precios que los productores reciben de sus productos y los precios que otros productores pagan por esos productos como bienes intermedios en su propia producción. Durante la pandemia de COVID-19, estos precios incrementaron a causa de las interrupciones en la cadena. Pero, se infiere que las corporaciones transfirieron una cantidad suficiente de estos costos intermedios a los consumidores de sus productos finales para percibir ganancias récord y grandes márgenes.</p><p style="text-align: justify;"><br /></p><p style="text-align: justify;">Santacreu, A. y LaBelle, J. (18 de julio 2022). Corporate profits are increasing rapidly despite increases in production costs. Obtenido de The Fred Blog en: <a href="https://fredblog.stlouisfed.org/2022/07/corporate-profits-are-increasing-rapidly-despite-increases-in-production-costs/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog">https://fredblog.stlouisfed.org/2022/07/corporate-profits-are-increasing-rapidly-despite-increases-in-production-costs/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog</a></p><div style="text-align: justify;"><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-12326853901949092262022-07-20T17:46:00.004-05:002022-07-20T18:08:25.625-05:00¿Las monedas latinoamericanas pierden terreno frente al dólar?<p style="text-align: justify;"> El comportamiento del valor del dólar, en términos de otra moneda local, se explica a partir de la demanda y oferta de dólares. Estas dos fuerzas se encuentran afectadas, tanto por factores internos, propias de la economía local y factores externos de la economía que afectan su comportamiento.</p><p style="text-align: justify;">Actualmente, el comportamiento del dólar depende mucho del perfil económico de Estados Unidos que, en los últimos meses, ha incrementado las tasas de interés de la Reserva Federal (FED) provocando en la región de Latinoamérica históricos valores en los tipos de cambio, específicamente en Argentina, Chile, Colombia y Perú.</p><p style="text-align: center;"><span id="docs-internal-guid-7597baf2-7fff-477f-f966-e9a83ddcd718"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-style: italic; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Gráfica 1: Tipo de cambio de las principales monedas latinoamericanas, Ene_2021-Jun_2022.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="background-color: transparent; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span id="docs-internal-guid-f004f1d7-7fff-81b9-8db3-90c6a44fd975"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/dMvWWvYlrlKlExNZVV6IS1YH5bVvwaF2VTu0T3KfuKTE70mQlAkztrGjxDGFln9K_gHtOSddv9UX82MlmXxgNU7NInQcHLB6L0OM-2xtrPkEEtWXl5RDmCpoxQR2T_nMOy53g2PbBdYf0f7QlmNTP18" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span><span style="font-family: Old Standard TT, serif;"><i><br /></i></span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="background-color: transparent; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: Old Standard TT, serif;"><i>Fuente: BCRP | Elaboración: EMECEP Consultorías</i></span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"></p><ul><li><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Argentina</span></span></li></ul><p></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">La actual pérdida de valor del peso argentino es parte de una tendencia histórica, que tras décadas de crisis económicas, con recurrentes ciclos inflacionarios, lleva a optar a los argentinos a refugiarse en el dólar.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"></p><ul><li><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Chile</span></span></li></ul><p></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">La moneda chilena marcó un récord histórico de 1.000 pesos por dólar el 6 de julio, y según el presidente Gabriel Boric, una de las principales razones es la baja del precio del cobre producto de dos factores que son externos a lo nacional. Además de la inestabilidad política y el excesivo gasto público.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"></p><ul><li><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Colombia</span></span></li></ul><p></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">En el caso de Colombia existe un elemento extra en la devaluación de su moneda y este tiene que ver con el riesgo político, debido al mensaje del presidente Gustavo Petro, en la afirma que “Colombia va a depender cada vez menos del petróleo”, que es el principal producto de exportación.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"></p><ul><li><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Perú</span></span></li></ul><p></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">La depreciación de la moneda peruana ha impulsado la inflación, a pesar que los tres primeros meses, hubo una clara tendencia a la apreciación del sol respecto al dólar, debido al incremento de los precios de los minerales, los cuales representan el 60% del total de las exportaciones peruanas. </span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">La diferencia entre el sol y el peso chileno, es que la depreciación de la moneda peruana en el segundo trimestre ha sido tan violenta que borró las ganancias del primero, y eso no ha ocurrido con otras monedas.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">¿Cómo afecta la depreciación de las monedas locales en América Latina?</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Un dólar alto contribuye al frenazo económico, debido a que este encarece el crédito, no solo en Estados Unidos, sino también en todo el mundo. De igual modo, esta depreciación de las monedas en Latinoamérica eleva el precio de las importaciones, lo cual contribuye al incremento de la inflación.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">De igual modo, la depreciación de las monedas locales, encarece el pago de la deuda en dólares, algo que puede generar presiones fiscales en países que tienen pocos fondos para gastar.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">¿Salida de capitales?</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Recordemos que las altas tasas en EE.UU. vuelven a ese mercado más atractivo para los inversores que no quieren correr riesgos y prefieren sacar sus capitales de economías emergentes, un fenómeno que según el Instituto de Finanzas Internacionales ya está ocurriendo.</span></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: "Old Standard TT", serif; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: "Old Standard TT", serif; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: "Old Standard TT", serif; white-space: pre-wrap;">Barría, C. (11 de julio de 2022). Los 3 países de América Latina que han sufrido las peores devaluaciones de su moneda este año frente al dólar. Obtenido de BBC News Mundo en: <a href="https://www.bbc.com/mundo/noticias-62098266">https://www.bbc.com/mundo/noticias-62098266</a></span></p><p dir="ltr" style="line-height: 1.8; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Morales, J. (2013). El comportamiento del dólar en Perú y América Latina. Sistemática(8), 31-34. Obtenido de <a href="https://revistas.unife.edu.pe/index.php/sistemica/article/view/639/554">https://revistas.unife.edu.pe/index.php/sistemica/article/view/639/554</a></span></span></p><div style="text-align: justify;"><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-44705952149670129392022-07-13T13:34:00.009-05:002022-07-13T15:57:54.311-05:00Flotación sucia: ¿Sistema con el que Perú mantiene estable su moneda?<p style="text-align: justify;">Los procesos inflacionarios en el Perú han distorsionado el sistema de precios relativos de la economía lo que genera incertidumbre y desalienta la inversión, dificultando a que la moneda cumpla adecuadamente sus funciones de medio de cambio, de unidad de cuenta y de depósito de valor. No obstante, muchos expertos comentan acerca de un "milagro económico peruano", debido al crecimiento sostenido en las últimas décadas, el cual solo fue interrumpido por la pandemia.</p><p style="text-align: justify;">Una de las razones que citan los expertos es debido a que nuestra moneda es y ha sido una de las más estables a nivel internacional desde hace ya bastantes años, debido al régimen cambiario que implementa el país, conocido como "flotación sucia".</p><p style="text-align: justify;">¿Cómo funciona el tipo de cambio con flotación intervenida o sucia?</p><p class="MsoNormal" style="text-align: justify;">El régimen de tipo de cambio en el Perú no es fijo ni flotante, es un esquema de flotación sucia o intervenida, que desde el 1991 es parte fundamental del esquema de la política monetaria del BCRP, que buscaba un plan integral de estabilización macroeconómica y salir de la profunda recesión en la que se encontraba, a inicios de la década de los años 1990.</p><p class="MsoNormal" style="text-align: justify;">De acuerdo con Mendoza (2017) “el Banco Central de Reserva del Perú (BCRP) rema en contra de la corriente en el mercado cambiario. Tiende a comprar dólares cuando el tipo de cambio baja, y tiende a vender cuando el tipo de cambio sube”, de esta manera se ha logrando mantener la moneda peruana relativamente estable.</p><p style="text-align: center;">Gráfica 1: Relación entre el tipo de cambio y posición de cambio del BCRP, Ene_2003-May_2022</p><div style="text-align: center;"><span id="docs-internal-guid-50ad7e48-7fff-b310-2668-2d58052e3ca0"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh4.googleusercontent.com/hBVbB2s1TaQUvgsqKHTCdR_cN64WQbl1eigGn9GU_7Plitm9t8Wfk1o_VfahguhQCq7Ao-VEAT2YryucffbhouXNLx1-BTV3n4pS4InBNcI0uKjslqLA9f7lXGn38wNcmSukS1v0NG0PuYrrHQ" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: BCRP, FRED | Elaboración: EMECEP Consultorías</div></div><div style="text-align: center;"><br /></div><div><div style="text-align: justify;">¿Cuál es la diferencia entre el tipo de cambio fijo, uno flotante y otro con flotación sucia?</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Mendoza (2017), sostiene que que una manera práctica de contestar esta pregunta es evaluando cómo reaccionan estos distintos regímenes cambiarios frente a un choque externo adverso, por ejemplo, el proveniente de un descenso del precio internacional de las materias primas.</div><div style="text-align: justify;">Con tipo de cambio fijo, el descenso del precio de las materias primas reduce el valor de las exportaciones, empeora la balanza comercial y produce un déficit de balanza de pagos, que genera presiones al alza en el tipo de cambio. Como el banco central quiere mantener fijo el tipo de cambio, debe vender dólares, y así financiar el déficit de balanza de pagos, reduciendo su tenencia de reservas internacionales. Es lo que se observa en la ecuación (3). El tipo de cambio se mantiene fijo, pero se caen las reservas internacionales del banco central.</div></div><div style="text-align: center;"><span id="docs-internal-guid-5ce03603-7fff-702c-6bd1-86231f3ee062"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P*-P)-m(1-t)Y+(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*-P)X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r-r*-E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)...(3)</span></span></div><div style="text-align: justify;">En un régimen de tipo de cambio flotante, ante el mismo choque externo, el banco central no interviene en el mercado cambiario, mantiene su volumen de reservas internacionales intacto y permite que el tipo de cambio se eleve para mantener equilibrada la balanza de pagos. El mayor tipo de cambio mejora la balanza comercial de bienes industriales, atrae más capitales de corto plazo, atenúa la caída del precio real de las exportaciones de materias primas y de esa manera se restablece el equilibrio de la balanza de pagos. Es lo que se aprecia en la ecuación (4). Las reservas internacionales se mantienen fijas, a costa del alza en el tipo de cambio.</div><div style="text-align: center;"><span id="docs-internal-guid-68041517-7fff-9fbb-774b-2ef0e8beae88"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">E=[m(1-t)Y-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">P*-P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+(a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)P-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r*+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-r)]/[a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">]</span></span><span style="font-family: "Old Standard TT", serif; font-size: 16px; white-space: pre-wrap;">...(4)</span></div><div style="text-align: justify;">Finalmente, en el régimen de flotación sucia, ante la caída del precio mundial de las exportaciones de materias primas, el banco central permite el alza, pero moderada, del tipo de cambio, pues interviene en el mercado cambiario, al costo de perder reservas internacionales. El alza en el tipo de cambio y la reducción en las reservas internacionales se aprecian en las ecuaciones (7) y (8), respectivamente.</div><div style="text-align: justify;"><span id="docs-internal-guid-f46e8688-7fff-7906-2f72-6bbfa5b3ed5a"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 36pt; margin-top: 0pt; text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+[β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(μ-β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)/μ]E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">/μ[-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">P*-P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r*+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-r)+(a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)P+m(1-t)Y]</span><span style="font-family: "Old Standard TT", serif; font-size: 16px; white-space: pre-wrap;">...(7)</span></p><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><div style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: center; white-space: pre-wrap;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E=1/μ[β</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">- a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Y+(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)P-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">P*-P</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">*X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">(r*+E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-r)]+[m(1-t)Y]/μ, donde, μ=a1+a2+ β0+X0.</span>...(8)</div><div style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: justify; white-space: pre-wrap;"><span></span></div><div style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: center; white-space: pre-wrap;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><br /></span></div><div style="text-align: justify;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: Old Standard TT, serif;"><span><a name='more'></a></span>Mendoza Bellido, W. (2017). La macroeconomía de la flotación sucia en una economía primaria exportadora: el caso de Perú. Economía , 40 (79), 105-132. Obtenido de <a href="https://revistas.pucp.edu.pe/index.php/economia/article/view/1927.">https://revistas.pucp.edu.pe/index.php/economia/article/view/1927.</a>
BBC News Mundo. (5 de julio 2022). Qué es la "flotación sucia", el sistema con el que Perú mantiene estable su moneda. Obtenido de <a href="https://www.bbc.com/mundo/noticias-america-latina-62005166#:~:text=Los%20economistas%20coinciden%20en%20que,menos%20vol%C3%A1tiles%20en%20Am%C3%A9rica%20Latina">https://www.bbc.com/mundo/noticias-america-latina-62005166#:~:text=Los%20economistas%20coinciden%20en%20que,menos%20vol%C3%A1tiles%20en%20Am%C3%A9rica%20Latina</a></span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">
</span></div><div><br /></div><span><!--more--></span><div><div>Anexo 1:</div><div>Movilidad imperfecta de capitales y regímenes cambiarios.</div><div>El modelo supone movilidad imperfecta de capitales, por lo que la ecuación de la balanza de pagos es la que mejor representa al sector externo.</div><div>La ecuación de la balanza de pagos viene entonces dada por,</div></div><div><span id="docs-internal-guid-b0f426ae-7fff-a281-be40-112dd05476f4"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P*-P)-m(1-t)Y+(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*-P)X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r-r*-E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)...(1)</span></p><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><div style="text-align: center;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E=[m(1-t)Y-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">P*-P</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">*X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)P-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Y*+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">(r*+E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-r)]/[a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">]+B</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">/(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)...(2)</span></div></span></span></div><div><span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><br /></span></span></div><div style="text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">En el régimen de tipo de cambio fijo, el banco central define el tipo de cambio, con lo cual el tipo de cambio es exógeno (E = E0) y el volumen de reservas internacionales es endógeno.</span></span></div><div style="text-align: justify;"><span id="docs-internal-guid-14607ccc-7fff-ef2f-e6f6-7a9e2f943360"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P*-P)-m(1-t)Y+(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*-P)X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r-r*-E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)...(3)</span></p><div><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: Old Standard TT, serif;">En el régimen de tipo de cambio flexible, </span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=0).</span></div><div style="text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span id="docs-internal-guid-6a55e6c5-7fff-7fd4-9aaf-3cac0078e900"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E=[m(1-t)Y-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">P*-P</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">*X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)P-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Y*+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">(r*+E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-r)]/[a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">]+B</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">/(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)...(4)</span></span></span></div><div><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: Old Standard TT, serif;">Una regla de intervención simple que reproduce bien el régimen de flotación sucia es la siguiente.</span></span></span></div><div><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span id="docs-internal-guid-d7f2ca9f-7fff-1d79-2641-3ebfe8439637"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">=B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">(E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-E)...(5)</span></p><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><div style="text-align: center;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E=E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+B</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">/β</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-B</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">/β</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">...(6)</span></div></span></span></span></span></div><div><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: Old Standard TT, serif;">Conjugando las ecuaciones (1) y (5), arribamos a las ecuaciones (7) y (8).</span></span></span></span></div><div><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-left: 36pt; margin-top: 0pt; text-align: center; white-space: normal;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">=B</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">*bcr</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">t-1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+[β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(μ-β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)/μ]E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-β</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">/μ[-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">Y*-a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">P*-P</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">*X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">(r*+E</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">-r)+(a</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">+X</span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">)P+m(1-t)Y]</span><span style="font-family: "Old Standard TT", serif; font-size: 16px; white-space: pre-wrap;">...(7)</span></p><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: normal;"><div style="font-family: "Old Standard TT", serif; font-size: 12pt; text-align: center; white-space: pre-wrap;"><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E=1/μ[β</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">m</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">- a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Y+(a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">)P-a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">1</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">P*-P</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">X</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">*X</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">0</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">+a</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: sub;">2</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">(r*+E</span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="font-size: 0.6em; vertical-align: super;">e</span></span><span style="font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">-r)]+[m(1-t)Y]/μ, donde, μ=a1+a2+ β0+X0</span>...(8)</div></span></span></span></span></div></span></div></span></span></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-23752880818641364232022-06-30T15:41:00.009-05:002022-07-08T19:49:26.015-05:00El oro, ¿Sigue siendo el oro un activo refugio?<p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">En la mayoría de los países, antes de los acuerdos de Bretton Woods, el valor de su moneda era igual a la cantidad de reservas de oro. </span><span style="vertical-align: inherit;">Con dichos acuerdos en 1944, los países Aliados de la II Guerra Mundial determinaron calcular el valor de sus monedas en base a las reservas de divisas, tomando como referencia principal al dólar estadounidense; </span><span style="vertical-align: inherit;">sin embargo, en 1971 el sistema de Bretton Wood decayó, por la crisis económica de EEUU, desvalorizando el dólar y desligando el estándar oro-dólar.</span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">A pesar de esto, el patrón oro continúa vigente en muchas bancos centrales del mundo, quienes mantienen el oro como reserva para el valor de su moneda en circulación. </span><span style="vertical-align: inherit;">Por lo que, se considera al oro como el activo refugio perfecto para momentos de inflación, usado por los bancos centrales para proteger el valor de la moneda y por los inversionistas (que compran oro) para proteger su capital en caso de que haya una devaluación de la moneda. </span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Figura 1: Relación entre el oro y la inflación, Ene_2003-Mar_2022</span></span></p><p style="text-align: center;"><span id="docs-internal-guid-3d75e7f3-7fff-68f7-0053-15b67463312f"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/CQ9Jcpc2Kfrnle9D7h6xyBBEZzwZiEoIIA6WNpPU5iVODQrx5MVpqnVjrAp3IsVLiXxXZHOznh_Mcf-K2R5AvTh4L_rGf6SgCj4e_aHlFpX7c1XLYYU5vu_6wBIT46fDnG6QdMfpDtX9xqm9ElhkMg" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: BCRP y FRED | </span><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías<span></span></span></span></p><a name='more'></a><p></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">En la Crisis Financiera Global del 2008, el precio del oro alcanzó máximos históricos, hasta los 1900 dólares estadounidenses por onza, con una alta demanda por parte de inversores que buscaban proteger su dinero. </span><span style="vertical-align: inherit;">Su alta liquidez y su baja volatilidad de precios lo ubicó como el activo refugio perfecto. </span><span style="vertical-align: inherit;">Al igual que en el 2020, los inversores compraron cantidades sin precedentes a través de ETF de oro físico y otros productos cotizados, y elevaron su precio hasta máximos históricos en agosto y registrando una rentabilidad anual mayor que la obtenida por cualquiera de las demás clases principales de activos. </span><span style="vertical-align: inherit;">Esto, sin duda, fue a causa de la pandemia y a la condición de activo refugio que se suele atribuir al oro por parte de los inversores frente a un futuro incierto.</span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Figura 2: Diagrama de Dispersión y Recta de Tendencia entre el oro y la inflación, Ene_2003-Mar_2022</span></span></p><p style="text-align: center;"><span id="docs-internal-guid-225595d8-7fff-98e8-02ff-18ed9c2cdd98"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh4.googleusercontent.com/pkdIB7-rJ1tnl34f-SPpBQ4WOGaoShzPfEVmRJ8WKxZLDa9cwEkDleldj7dMvfhRT8s_wpXEn7lvYUoZ_P6XIHA2RlvtLD9DKg8yvxdF-QxY_ajWYda5z2CoI78GeF7YnhodiWrYVtD2xI-vKeqjRQ" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: BCRP y FRED | </span><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías</span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">A pesar de ello, en la última década la interacción entre el precio del oro y la inflación ha sido menor, por lo que es importante comprender la causa para determinar si se trata de una ruptura permanente. </span><span style="vertical-align: inherit;">Y de acuerdo a Peyranne (2021) para responder a esto, se debe analizar dos de los principales factores de impulso del precio del oro: el temor y los costes de oportunidad. </span><span style="vertical-align: inherit;">Y en palabras de este autor, "El oro no paga rentas, no tiene fecha de vencimiento y se le atribuye un elemento sentimental, por tanto, resulta difícil de valorar utilizando modelos financieros tradicionales"</span></span></p><p style="text-align: justify;"><br /></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">1. Peyranne, L. (28 de mayo del 2021). </span><span style="vertical-align: inherit;">¿Protege el oro de la inflación?. </span><span style="vertical-align: inherit;">Obtenido de El Economista: <a href="https://www.eleconomista.es/opinion-blogs/noticias/11241195/05/21/Protege-el-oro-de-la-inflacion.html">https://www.eleconomista.es/opinion-blogs/noticias/11241195/05/21/Protege-el-oro-de-la-inflacion.html</a></span></span></p><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-16305964627518218712022-06-27T18:20:00.005-05:002022-07-08T19:49:13.407-05:00 ¿El desempleo asociado a la morosidad en los pagos de las tarjetas de crédito en Estados Unidos?<p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Si bien las tarjetas de crédito son más prácticas al realizar pagos, es un tema saber administrarlas, debido a que existe un gran porcentaje de consumidores que no hacen uso adecuado de sus tarjetas, endeudándose más allá de sus pagos y en muchos casos, llegando al caso de estar desempleado y con deudas.</span></span></span></span></span></span></span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">En particular en el 2006 y 2007 la tasa de desempleo estable fue baja y bastante, rondando el 5% o menos, considerando la solidez de la economía significaba que los prestamistas se sintieron cómodos asumiendo mayores riesgos, buscando nuevas oportunidades para cobrar más intereses de las familias estadounidenses.</span></span></span></span></span></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Figura 1: Relación entre el desempleo y la morosidad en los pagos de las tarjetas de crédito en EEUU, Q3_2003-Q1_2022</span></span></span></span></span></span></span></span></p><p style="text-align: center;"><span id="docs-internal-guid-f5328035-7fff-d393-f3b1-410503450116"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh3.googleusercontent.com/8_nub5gqwvxq9jbmIgRj8UTT4yYHAxuJ8RlT50Days_q092xSyD4THZXQmQEvlsLEojVA_xPa_vZj-8jWhBM9_xvvbfQdG9sLLTpJxQx1m3n7opIdw6i9VwqQzGAi6RFEouYI6C3bSuExrj6Cw" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: FRED | </span></span></span></span></span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías<span></span></span></span></span></span></span></span></span></span></p><a name='more'></a><p></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Pero en el 2008-2009 (Gran Recesión), como indica la figura 1 en la región sombreada, la tasa de desempleo estacionalmente (línea roja, eje derecho) casi se duplicó del 5% en diciembre de 2007 al 9,5% en junio de 2009. Al mismo tiempo, las tasas de morosidad de tarjetas de crédito ajustadas estacionalmente (línea azul, eje izquierdo) aumentan de 4,6% en el trimestre de 2007 a 6,8% en el segundo trimestre de 2009. Por lo que se deduce que a medida que los trabajadores quedaron desempleados, algunos dejaron de pagar puntualmente con sus tarjetas de crédito.</span></span></span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">En consecuencia, Athreya, Sánchez, Tam y Young (2015), llegaron a la conclusión de que cuando los consumidores se encuentran en apuros de dinero, las tarjetas de crédito son un recurso importante que pueden servir de salvavidas para cubrir algunas necesidades básicas. </span></span></span></span></span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">No obstante, si no se puede pagar a tiempo la deuda, esta puede crecer rápidamente, originando problemas financieros en el largo plazo.</span></span></span></span></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Figura 1: Diagrama de Dispersión y Recta de Tendencia entre el desempleo y la morosidad en los pagos de las tarjetas de crédito en EEUU, Q3_2003-Q1_2022</span></span></span></span></span></span></p><p style="text-align: center;"><span id="docs-internal-guid-7193b8e5-7fff-ea1d-ef14-17b0db622611"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/_Jp_-6sbC_Xw0IN7JqvyFpGUqm90rj0bUlW8ceBQqsYtVt9AgLk9LJ2mfzIYma09PqwKx9guYili9T3l8pRfwtpRS-DJs4MetytK9HUKsVK_ecIUKLfF2_qejrL4URb1iNRC420eTJp8C3c-rw" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Fuente: FRED | </span></span></span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Elaboración: EMECEP Consultorías</span></span></span></span></span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Por otra parte, la figura 1 también muestra la recesión más reciente, causada por la pandemia de COVID-19, desde febrero de 2020 hasta abril de 2020. Durante este tiempo, la tasa de desempleo ajustada estacionalmente se disparó del 3,5 % al 14,8 %, un aumento de más del cuádruple. Sin embargo, a diferencia de la Gran Recesión, la morosidad de las tarjetas de crédito ajustada estacionalmente disminuyó. Así, hubo una ligera correlación negativa entre el desempleo y las tasas de morosidad de las tarjetas de crédito </span></span></span></span></span></span>como también lo indica la figura 2.</p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">¿Qué causaría un comportamiento tan diferente en el pago de tarjetas de crédito durante esta recesión?</span></span></span></span></span></span></p><p style="text-align: justify;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Probablemente sea una combinación de varias razones: fácil acceso a programas de indulgencia, programas de seguro de desempleo inusualmente generosos y cheques de estímulo del gobierno. </span></span></span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Por supuesto, se necesita más investigación para comprender el papel específico de cada uno de estos programas.</span></span></span></span></span></span></p><p><br /></p><p><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">1. Sánchez, J. y Wilkinson, O. (27 de diciembre del 2021). </span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Sobre la relación entre desempleo y morosidad en tarjetas de crédito. </span></span></span><span style="vertical-align: inherit;"><span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Obtenido de The Fred Blog en: <a href="https://fredblog.stlouisfed.org/2021/12/on-the-relationship- between-unemployment-and-late-credit-card-payments/">https://fredblog.stlouisfed.org/2021/12/on-the-relationship- between-unemployment-and-late-credit-card-payments/</a></span></span></span></span></p><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-83714579424600102382022-06-08T20:01:00.002-05:002022-07-08T19:50:52.074-05:00América Latina, ¿Por qué el pronóstico de un mayor crecimiento económico no es tan alentador como parece?<p style="text-align: justify;">El Banco Mundial subió ligeramente su proyección de crecimiento económico regional para este año a un 2,5%, lo que representa un aumento de 0,2% respecto a su estimación de abril. </p><p style="text-align: justify;">El conflicto entre Ucrania y Rusia ya está teniendo impactos de mediano y largo alcance, originando un nuevo shock de inflación, con políticas monetarias más restrictivas como la subida de las tasas de interés que complica la gestión de los ya elevados niveles de deuda.</p><p></p><div class="separator" style="clear: both; text-align: center;"><span style="border: none; display: inline-block; height: 1132px; margin-left: 1em; margin-right: 1em; overflow: hidden; width: 602px;"><img height="1132" src="https://lh3.googleusercontent.com/XcKkRKSf5-MEVIH4bBWlI2zYSe-Vq_7ODVPTYF9HNUwDiz4E6WMMMrtujvUgF378Ve9is7rEgYaBUPEuXv8SSQF0eIPzKGudpNyeySgl_QmYGJygtTxca7p917aCFKh7IBJuPY6UBVX_n7bGLw" style="margin-left: 0px; margin-top: 0px;" width="602" /></span><span><a name='more'></a></span></div><p><span id="docs-internal-guid-47c67f71-7fff-e281-b0e2-1dcdcc6fa1ac"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"></span></span></p><div><div style="text-align: justify;">¿Por qué los países latinoamericanos no sostendrán los beneficios de la exportación de las materias primas?</div><div style="text-align: justify;">Mirando hacia adelante, el Banco Mundial espera que los precios de los commodities sigan siendo "sustancialmente más altos" en 2022, aunque "los beneficios para el crecimiento se verán frenados por una respuesta lenta de la producción de algunos productos básicos y por el aumento de los costos de los insumos, incluidos la energía y los fertilizantes", precisó la institución.</div></div><div style="text-align: center;"><span id="docs-internal-guid-fc9a5629-7fff-d047-77ea-261ee3dd7385"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 600px; overflow: hidden; width: 600px;"><img height="600" src="https://lh5.googleusercontent.com/kRe3voNaF4svXlNqKwQ7ZxEgcubT8MwzxzdnT4vp3GN7VMqigGcnkq8GhiaRUdWzORjQ4_URdQWHwkh_gmVeLEErv4bjfvDtHm5Zh_MybQBJ7huGOGP5BbChlZcaqcilZ8e_lIfMWipDMTN4_g" style="margin-left: 0px; margin-top: 0px;" width="600" /></span></span></span></div><div style="text-align: justify;"><div>En ese sentido, el incremento de los precios de las materias primas no es similar a lo que se aconteció hace algunos años, debido a la ola de estanflación (poco crecimiento y alta inflación), que no permite que los países exportadores gocen de los beneficios.</div><div>En consecuencia, uno de los grandes desafíos de los gobiernos es hallar la fórmula para controlar el aumento en el costo de vida y al mismo tiempo, no estancar el crecimiento económico.</div><div><br /></div><div><br /></div><div>1. Fondo Moneterio Internacional. (18 de abril de 2022). América Latina sufre un shock inflacionario tras otro. Obtenido de <a href="https://www.imf.org/es/News/Articles/2022/04/15/cf-latin-america-hit-by-one-inflationary-shock-on-top-of-another">https://www.imf.org/es/News/Articles/2022/04/15/cf-latin-america-hit-by-one-inflationary-shock-on-top-of-another</a></div><div>2. Fondo Monetario Internacional. (abril de 2022). Perspectivas económicas para las Américas, abril de 2022. Obtenido de <a href="https://www.imf.org/es/Publications/REO/WH/Issues/2022/04/22/regional-economic-outlook-for-western-hemisphere-april-2022">https://www.imf.org/es/Publications/REO/WH/Issues/2022/04/22/regional-economic-outlook-for-western-hemisphere-april-2022</a></div><div>3. BBC News Mundo. (7 de junio de 2022). Por qué la previsión de un mayor crecimiento económico de América Latina no es tan buena noticia como parece. Obtenido de <a href="https://www.bbc.com/mundo/noticias-61677548?at_custom1=%5Bpost+type%5D&at_custom3=BBC+News+Mundo&at_campaign=64&at_medium=custom7&at_custom4=B41B33E0-E73C-11EC-8293-59F915F31EAE&at_custom2=facebook_page&fbclid=IwAR0rh6z_LXhjNtLdiRQQt88dTleWKPOcrnPhd31lN_o">https://www.bbc.com/mundo/noticias-61677548?at_custom1=%5Bpost+type%5D&at_custom3=BBC+News+Mundo&at_campaign=64&at_medium=custom7&at_custom4=B41B33E0-E73C-11EC-8293-59F915F31EAE&at_custom2=facebook_page&fbclid=IwAR0rh6z_LXhjNtLdiRQQt88dTleWKPOcrnPhd31lN_o</a></div><div><br /></div><div><br /></div><div><br /></div></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-56072232640127098912022-05-31T17:06:00.002-05:002022-07-08T19:51:33.310-05:00¿El precio de la energía impacta de forma significativa en los alimentos?<p style="text-align: justify;">Desde los años 70, los mayores incrementos de precios de los alimentos se registran durante la Crisis financiera mundial (2007-2008) que disparó el precio de la energía y posteriormente, la caída de los precios de la energía en 2009 generó en 2011, una de las mayores alzas de precios de alimentos (23,6 %).</p><p style="text-align: justify;">Desde entonces, es durante el segundo año de la pandemia mundial por la Covid-19 y el inicio de la nueva crisis energética del 2021, que se registran nuevamente uno de los mayores aumentos en el precio de los alimentos, que durante todos los meses del año superaron los 110 puntos y, al final de 2021, terminaron en el nivel más elevado de la última década, alcanzando un índice promedio de 125,8 puntos, lo que representa un 28,1 % más que el promedio del año 2020, relacionado con la recuperación de los precios de la energía en un 83.01 %.</p><p></p><p style="text-align: justify;">El alza de precios de los alimentos continuó durante enero y febrero de 2022, debido al comienzo del conflicto bélico entre Rusia y Ucrania.</p><p style="text-align: center;">Gráfica 1: Diagrama de series de tiempo entre los precios de los alimentos y los precios mundiales de la energía, Ene_1992-Abr_2022</p><p style="text-align: center;"><span id="docs-internal-guid-59a87788-7fff-2ac1-ee35-c7f2cd48d641"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/lsC74ZljD9yiOLxTHS5FarWIikdTJqy5V8qifvjktrkj9Oz7KZp4xlb-Z49biyszVnVWcTyqaKlEqUPD_1EjP7QlFMXNqzWIbQDKgXsYpBs5OqtAL37YwbJ28qafDCHMmRaqFQY-fM1Z1CJfyQ" style="margin-left: 0px; margin-top: 0px;" width="602" />Fuente: FAO y FRED | Elaboración: EMECEP Consultorías</span></span></span></p><p style="text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 16px; white-space: pre-wrap;">Fuente: FAO y FRED | Elaboración: EMECEP Consultorías<span></span></span></p><a name='more'></a><p></p><div><div style="text-align: justify;"><div style="text-align: center;">Gráfica 2: Diagrama de dispersión y recta tendencia entre los precios de los alimentos y los precios mundiales de la energía, Ene_1992-Abr_2022</div></div></div><div style="text-align: center;"><span id="docs-internal-guid-05be4c91-7fff-42e6-c2ce-4c6569baabec"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/LcLCuH8jOluaceBViOeVK7iH-ZhiPTcgSsCgsnXswAtApnraivcgohLH_XxWvpPlcbSAAV6CCP-LIeFn9KYkq8Fw14dNfo8s0Ze9zX-F6duRg_eRb5SPt7Qi_CiEKjosXT72Pv03i-miVz0TiA" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div style="text-align: center;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; white-space: pre-wrap;">Fuente: FAO y FRED | Elaboración: EMECEP Consultorías</span></div><div><span id="docs-internal-guid-8afcf21f-7fff-325f-c57c-231249cf4054"><div style="text-align: justify;"><br /></div><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Entre las principales causas que se enumeran como impulsoras del incremento de los precios está: el alto costo de los insumos, la pandemia mundial y las condiciones climáticas, que generaron problemas en las cosechas. </span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: Old Standard TT, serif;"><span style="white-space: pre-wrap;">Sin embargo, entre las principales causas, se le puede dar mayor ponderación a la crisis energética, motivada por el aumento de los precios, que impactó en la cadena de suministro, el costo de los fletes, de insumos como los fertilizantes, y finalmente, en el costo de la producción de los alimentos.</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: justify;"><span style="font-family: "Old Standard TT", serif; white-space: pre-wrap;">Es en este sentido, que la crisis energética sí puede considerarse una amenaza para el sistema agroalimentario mundial, sobre todo en el sector de la producción primaria de alimentos.</span></p><div style="text-align: justify;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><br /></span></div><div style="text-align: justify;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">1.Sanchéz, C. (23 de mayo de 2022). Índice de precios de los alimentos 1968-abril 2022. Recuperado de Alimentos y Poder: <a href="https://alimentosypoder.com/2022/05/23/indice-de-precios-de-los-alimentos-1968-abril-2022/">https://alimentosypoder.com/2022/05/23/indice-de-precios-de-los-alimentos-1968-abril-2022/</a></span></div></span></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-67898137749428458252022-05-24T19:20:00.001-05:002022-06-18T12:44:12.688-05:00Incremento del costo de fertilizantes ¿Podría tener un impacto en el precio al consumidor de productos agrícolas?<p style="text-align: justify;">Los precios de los fertilizantes siguen subiendo a medida que la agitación del suministro y como podemos observar en el gráfico 1, el índice norteamericano de los fertilizantes subió en abril en un 123.56% con respecto al mismo mes del año anterior. Esto se debe a que persisten los problemas en la cadena de suministros lo que ha generado sobrecostos en el transporte marítimo de carga, además de esto, se ha intensificado la problemática de escasez de energía en países productores de estos insumos.<span></span></p><a name='more'></a><p></p><p style="text-align: center;">Gráfica 1: Índice de precios de fertilizantes nitrogenados, Dic_2014-Abr_2022</p><p style="text-align: center;"><span id="docs-internal-guid-aaee139e-7fff-bb44-cd1c-4b57b64827d8"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh3.googleusercontent.com/QwFm8ewVwWnKLAyc9W8C4xJoIrnIiAY2Q15Ly_8ax-6Cp2uC6z8DqxXBipOpSSUZ08qCwDERwjr6FR_1BkYBMYT51974KurktQcgvfdV4ZF9f5OU4xnCb9i7uZkGZ6YPIlcxp0ny5dzjyRfp7Q" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><p style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</p><p style="text-align: justify;">Se debe considerar que el Perú importa más de dos millones de toneladas de fertilizantes al año. Por lo que esta crisis se ha traducido en aumentos de los precios de fertilizantes hasta 264.96% en la urea agrícola, 255.73% en el nitrato de amonio y 291.72% en el sulfato de amonio todo con respecto al mismo mes del año anterior.</p><p style="text-align: center;">Gráfica 2: Perú: precio de venta minorista de fertilizantes nitrogenados, por departamento y provincia, Urea Agrícola, marzo 2021 – 2022</p><p style="text-align: center;"><span id="docs-internal-guid-a841b13b-7fff-c42c-f8f5-cffd059fa0d1"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 371px; overflow: hidden; width: 600px;"><img height="371" src="https://lh6.googleusercontent.com/vXuBgrKJ4fxyNRIP8qE8EL8DByL55F4OxoUCNWFhApLvucC2IzaIrFlXyC-xdj8LYb333Gr6mK5N3HWMCi7XQEYapnPDpp4WSXZxZ06TwbER-wbIBSkSdbdkm_SCueosOW01DIvsVtgL0voDgg" style="margin-left: 0px; margin-top: 0px;" width="600" /></span></span></span></p><p style="text-align: center;">Fuente: Direcciones Regionales de Agricultura | Elaboración: EMECEP Consultorías</p><p style="text-align: center;">Gráfica 3: Perú: precio de venta minorista de fertilizantes nitrogenados, por departamento y provincia, Nitrato de Amonio, marzo 2021 - 2022</p><p style="text-align: center;"><span id="docs-internal-guid-899fa6cc-7fff-fc6e-9a33-08e54696050c"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 371px; overflow: hidden; width: 600px;"><img height="371" src="https://lh6.googleusercontent.com/4jXl4VeKbt6Y21zhOEteP8_w83GDyp4yFy-XXWLxoiTIKJCZsMTIiZiwjL85Its-JOlj_ZwIrY8xWXGVXLu3zlokaH_4xOA_gu_N3rNhZFTBrV2gQfnJmLtR8zSELLk5alGQgNieBJXwwz341A" style="margin-left: 0px; margin-top: 0px;" width="600" /></span></span></span></p><p style="text-align: center;">Fuente: Direcciones Regionales de Agricultura | Elaboración: EMECEP Consultorías</p><p style="text-align: center;">Gráfica 4: Perú: precio de venta minorista de fertilizantes nitrogenados, por departamento y provincia, Sulfato de Amonio, marzo 2021 - 2022</p><p style="text-align: center;"><span id="docs-internal-guid-3fe5b564-7fff-3ca8-4d34-823b54e8e70c"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 371px; overflow: hidden; width: 600px;"><img height="371" src="https://lh3.googleusercontent.com/OQ7EhZFtvG5poaWY2rruLqyQnbBr5mVoTAX_UNMgrI0pfZfN5t0Nrh2ZXWdc5pobOuKQqJck0bzR266LpdaHA8Mv2IW3J_Zib2hCRIGwkFRBcOU_ivVjoFEMz_fL8xnkTU-xpuXFr_9J3cfMaw" style="margin-left: 0px; margin-top: 0px;" width="600" /></span></span></span></p><p style="text-align: center;">Fuente: Direcciones Regionales de Agricultura | Elaboración: EMECEP Consultorías</p><p style="text-align: justify;">En el Perú, el alza de precios significa mayores costos de producción, reducción de áreas sembradas, menor oferta de productos para la canasta básica familiar, incrementos en los precios de alimentos e incluso el cierre definitivo de algunos cultivos.</p><p style="text-align: justify;">Para ello, el Banco Central de Reserva (BCR), sostiene que anteriormente hubo dos episodios similares en la alza de precios de fertilizantes en los años 2007-2008 y 2010- 2011, dónde se apreció que este incremento tuvo un impacto en el precio al consumidor en productos como la papa, el tomate, la cebolla, la zanahoria, entre otros.</p><p style="text-align: justify;"><br /></p><span><!--more--></span><p style="text-align: justify;">1.RPP Noticias (20 de mayo 2022). Perú: Agricultores de Arequipa, Junín y Áncash alertan de "escasez" y "quiebra" por alza de precios. Obtenido en https://rpp.pe/peru/arequipa/peru-agricultores-de-arequipa-junin-y-ancash-alertan-de-escasez-y-quiebra-por-alza-de-precios-noticia-1406537?ref=rpp</p><p style="text-align: justify;">2. Ministerio de Desarrollo Agrario y Riego (24 de mayo del 2022). Boletín Estadístico Mensual "EL AGRO EN CIFRAS" - 2022. Obtenido en https://www.gob.pe/institucion/midagri/informes-publicaciones/2826318-boletin-estadistico-mensual-el-agro-en-cifras-2022</p><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-48890462575271999082022-05-19T12:36:00.001-05:002022-06-18T12:44:16.682-05:00¿Cómo ha evolucionado el vínculo entre la deuda corporativa y el apoyo fiscal, durante la pandemia del COVID-19?<p style="text-align: justify;"> La pandemia de Covid-19 desencadenó la mayor contracción económica desde la Segunda Guerra Mundial e indujo a los gobiernos a promulgar medidas de apoyo sin precedentes. Las empresas, en particular, se beneficiaron de una amplia gama de programas, que van desde transferencias e inyecciones de capital hasta préstamos con garantía pública y moratorias de deuda. Existe evidencia de que estas medidas económicas ayudaron a prevenir un aumento significativo en las quiebras y cierres de empresas: la cantidad de empresas que quebraron o abandonaron el mercado después de la pandemia es sustancialmente menor que en años anteriores (Banerjee et al. 2021, Djankov et al. 2021, Orlando y Rodano 2022).<span></span></p><a name='more'></a><p></p><p style="text-align: center;">Gráfica 1: Deuda corporativa y apoyo fiscal durante la crisis del COVID-19, 2021</p><p style="text-align: center;"><span id="docs-internal-guid-46ddf096-7fff-f9c0-e302-aaba88f6302f"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/6SLYASe0FHS7UMVyDIFHK-x4vJSwY99wQ68eXIk0iH37_bTZynbuyfsAJGm1uDEUQxL8-_5arbQklwnmtojRPbYi3faQN-mZKcGlBJalLH8FuoDD1jz9aylsNenHFGLn1myWvmpi9KiBZ7yWmA" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><div><div style="text-align: center;">Fuente: FMI | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">En los mercados emergentes, la respuesta fiscal discrecional a la pandemia supuso una media del 10% del PIB durante 2020-21, de la cual el 6% consistió en gastos adicionales e ingresos no percibidos y el 4% en capital, préstamos y garantías. A su vez, el sector empresarial ha pasado a depender en gran medida de la continuación del apoyo político en los casos en que la recuperación económica aún no se ha afianzado y las vulnerabilidades de las empresas son elevadas (coeficiente de correlación de 0.5303). Esto ha profundizado significativamente la interconexión de los soberanos y los bancos a través de las empresas, de modo que las tensiones en el sector soberano podrían extenderse rápidamente a las empresas y perjudicar los balances de los bancos.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">1. International Monetary Fund (2022). The sovereign-bank nexus in emerging markets: A risky embrace (41-64). Obtenido de: <a href="https://www.imf.org/-/media/Files/Publications/GFSR/2022/April/English/ch2.ashx">https://www.imf.org/-/media/Files/Publications/GFSR/2022/April/English/ch2.ashx</a></div></div><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-90926718682568409982022-05-16T19:02:00.003-05:002022-06-18T12:44:21.467-05:00¿La apertura al comercio desplaza puestos de trabajo?<p style="text-align: justify;">El comercio internacional suele tener efectos sobre la distribución de la renta en los países, por lo que a menudo produce perdedores y ganadores. Un modelo útil para analizar los efectos es el modelo de factores específicos, en este modelo, los factores específicos de los sectores exportadores en cada país ganan con el comercio, mientras que los factores específicos de los sectores que compiten con las importaciones pierden.<span></span></p><a name='more'></a><p></p><p style="text-align: justify;">Por lo que la apertura al comercio desplaza puestos de trabajo de los sectores que compiten con las importaciones a los sectores exportadores. La gráfica 1 sugiere la posibilidad de que las importaciones y la tasa de desempleo estuvieran vinculadas de 1960_T1 a 1989_T4. Sin embargo, desde 1990_T1 esa líneas se han ido distanciando enormemente y veinte años después ya no guardan ninguna relación.</p><p style="text-align: center;">Gráfica 1: Diagrama de series de tiempo entre el Comercio y Desempleo, T1_1960-T1_2022</p><p style="text-align: center;"><span id="docs-internal-guid-adebd6c5-7fff-26c1-6e82-85269788d501"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh3.googleusercontent.com/9NdbcJBrguqprOq1gD6cACrcrWH94YHMAJnMgvun6doS4jI94rAYW_5B2XdjzO9si2F6AeqQ_t2QbnqxKxhO6mvSqmD07OYxSRAWFm0q_MUk1lb78KQ0LffXnisXryugzuG71ZPFl7Wpe-Mq7A" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></p><div><div style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Asimismo la gráfica 2 muestra la correlación entre los cambios en el desempleo y las importaciones (con respecto al PIB). De modo que entre los años de 1960-1990 la relación positiva entre dichas variables fue de 0.5164. Sin embargo durante los últimos 30 años, este vínculo se ha hecho menos evidente y como se observa el valor del coeficiente de correlación llega a ser 0.0053.</div><div><br /></div><div style="text-align: center;">Gráfica 2: Diagrama de Dispersión y recta de tendencia entre el Comercio y Desempleo, T1_1960-T1_2022</div></div><div style="text-align: center;"><span id="docs-internal-guid-5226971e-7fff-b100-5c63-de5d8408b973"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh6.googleusercontent.com/YVvtivtys8yjJTrFMhIXip6288dDFHUPwZ0R5jTUr0bjEq5fNiqjPvc5zK65aJnP2oHQze3DEB1TaFWUnSavTqOt66ei5VDh2Ih78uPu5wqtDPm6qfjsYZ2-HEh6et0PcFeYUk1P3APb2jEdVg" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div><div><div style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">Por otra parte, la Oficina de Estadísticas Laborales estadounidense (U.S. Bureau of Labor Statistics) lleva un seguimiento de la causa principal de todos los despidos masivos y durante el periodo 2001-2010, los episodios de desempleo provocados por la competencia de la importación o por relocalizaciones en el extranjero supusieron menos del 2% de los desplazamientos involuntarios totales asociados con despidos masivos. </div><div style="text-align: justify;">Esto es una muestra claramente que el desempleo es un fenómeno macroeconómico que responde a las condiciones económicas generales alcanzando un máximo durante los años de recesión. En definitiva, aunque la relación entre desempleo y las importaciones es compleja, una cosa está clara: el proteccionismo no protege el empleo; o lo hace a un costo muy alto que puede tener repercusiones adversas, sobre todo en la actualidad, cuando la economía mundial está cada vez más interconectada.</div><div style="text-align: justify;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><br /></span></div><div style="text-align: justify;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">1.Organización Mundial del Comercio (s/f). La OMC puede ... estimular el crecimiento económico y el empleo. Obtenido de </span><a href="https://www.wto.org/spanish/thewto_s/whatis_s/10thi_s/10thi03_s.htm" style="font-family: "Old Standard TT", serif; font-size: 12pt; text-decoration-line: none; white-space: pre;"><span style="color: #1155cc; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">https://www.wto.org/spanish/thewto_s/whatis_s/10thi_s/10thi03_s.htm</span></a></div><div style="text-align: justify;"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; white-space: pre-wrap;">2.Krugman, P.; Obstfeld, M.; Melitz, M. (2016). Economía Internacional. Teoría y política. (10ma ed.). Pearson Educación S.A.</span></div></div><div><br /></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-79258315810533473582022-05-11T21:14:00.005-05:002022-06-18T12:44:25.158-05:00Se mantiene la escasez de microchips: ¿Por qué hay una crisis de semiconductores?<p style="text-align: justify;">Los chips semiconductores se han convertido en un componente sumamente importante para la fabricación de celulares inteligentes, equipos de cómputo, videoconsolas, y demás aparatos electrónicos, además de tiene un uso intensificado en la robótica y la industria automovilística. Así pues la pandemia del COVID-19 en los últimos dos años ha provocado interrupciones en la cadena de suministro en casi todas las industrias y una consecuencia de estas interrupciones es la escasez de semiconductores. Si bien la demanda en los EE. UU. fue inicialmente baja a lo largo de la recesión inducida por el COVID-19 a principios del 2020, la recuperación se ha caracterizado por una fuerte demanda.<span></span></p><a name='more'></a><p></p><p style="text-align: justify;">Del mismo modo en los primeros meses del 2021, se ha dificultado que los proveedores de insumos logren satisfacer la demanda, lo que ha contribuido a un fuerte aumento en los precios de los bienes intermedios. De hecho, como muestra la línea roja en el gráfico, el índice de precios al productor de bienes intermedios comenzó a aumentar inmediatamente después del período de recesión de 2020 y aumentó más del 21% interanual en septiembre de 2021. Por otro lado, la línea azul que mide los precios de los semiconductores y otros componentes electrónicos muestra que estos precios se han mantenido relativamente estables.</p><div style="text-align: center;">Gráfica 1: Diagrama de series de tiempo en relación positiva entre IP producción de bienes intermedios y IP productor de bienes electrónicos, Ene_2017–Feb_2022</div><div style="text-align: center;"><div class="separator" style="clear: both; text-align: center;"><span id="docs-internal-guid-8f6bc410-7fff-613d-65b9-0e4f10ce2657"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh4.googleusercontent.com/5D_MrNQgfclFJyZV-ZEDQOd7f-7BTC3WI56dwQyyYAQLOtYuGCsxa1Qzynko8-I7OO1mZvsIO2BGAH2hTf3hYNghOhuEvlBITgUH7ukvw_OImPVBvgbFEPd_3lpPC7RJIYQJZx6kiOkal8bS-w" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div></div><div style="text-align: center;"><div>Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;">Si bien una explicación requiere una investigación cuidadosa, según Coleman, después de la crisis sanitaria, parte de la razón de la crisis de semiconductores es el cambio de los patrones de consumo, recordemos que la ampliación de fábricas de chips no es inmediata, sino que tarda entre dos y tres años. Por otro lado, la guerra en Ucrania podría afectar, la provisión de neón purificado, un insumo clave para la elaboración de los minúsculos componentes.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><div>1.Bandyopadhyay, S. & Grittayaphong, S. (13 de diciembre del 2021). Cuellos de botella y precios de semiconductores. Obtenido de Blog de FRED: <a href="https://fredblog.stlouisfed.org/2021/12/semiconductor-bottlenecks-and-prices/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog">https://fredblog.stlouisfed.org/2021/12/semiconductor-bottlenecks-and-prices/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog</a></div><div>2.Zurita, M. (1 de mayo del 2022). Escasez global de chips: ¿Cómo esta situación afecta al Perú? Obtenido de Forbes Perú: <a href="https://forbes.pe/tecnologia/2022-05-10/escasez-global-de-chips-como-esta-situacion-afecta-al-peru/">https://forbes.pe/tecnologia/2022-05-10/escasez-global-de-chips-como-esta-situacion-afecta-al-peru/</a></div></div><div><br /></div></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-12520834756987942452022-05-04T18:49:00.005-05:002022-05-04T19:02:29.273-05:00Las fluctuaciones en el producto bruto interno real de EE.UU. ¿Están impulsadas por factores transitorios o persistentes?<div style="text-align: justify;">Una forma de responder a estas preguntas es a través de la hipótesis del ingreso permanente (PIH)1., que fue formulada por el economista ganador del Premio Nobel Milton Friedman en 1957. El PIH está relacionada con la demanda del consumidor debido a que los gastos deseados en bienes y servicios de consumo deberían depender principalmente de su riqueza (ingresos permanentes) y no sobre sus ingresos corrientes (o transitorios), la hipótesis implica que las personas gastarán dinero a un nivel que sea consistente con su ingreso promedio esperado a largo plazo.</div><div style="text-align: justify;">A nivel agregado, el PIH sugiere que los gastos de consumo pueden representar una medida razonablemente buena de la tendencia percibida en el PIB. Así que trazamos el PIB real y el consumo real (bienes no duraderos más servicios) para EE.UU.</div><div style="text-align: justify;"><br /></div><div style="text-align: center;">Gráfica 1: Diagrama de series de tiempo entre PBI, gasto en consumo de bienes y gasto en consumo de servicios, 2000Q01-2022Q01</div><div><div class="separator" style="clear: both; text-align: center;"><span id="docs-internal-guid-191fec02-7fff-1b06-c60c-b51ed1bb0668"><span style="font-family: "Old Standard TT", serif; font-size: 12pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="border: none; display: inline-block; height: 437px; overflow: hidden; width: 602px;"><img height="437" src="https://lh5.googleusercontent.com/uaIbHXH9FHWl6pH-gE-nirwadyF2rx5YQIHUE672dtaIwSJ2ptVyJmyfSWHAKUV8UaAgaGeNlPhf-j_yRNJXGm6U9B6eWLAsmWwBcxYOgTljIetFFdhF5AOepb8FfelWNE7OGJV9eTs8HJQj0w" style="margin-left: 0px; margin-top: 0px;" width="602" /></span></span></span></div></div><div style="text-align: center;">Fuente: FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: center;"><br /></div><div style="text-align: justify;">De esta manera al inicio de la serie, 2000-T01 al 2007-T04, se muestra que tanto la tendencia como el ciclo (desviaciones de la tendencia) desempeñan un papel visiblemente importante en la configuración de la trayectoria temporal del PIB. Sin embargo, para el 2008-T01 al 2009-T04 se muestra, prácticamente que los movimientos del PIB se explican por cambios en la tendencia del PIB.</div><div style="text-align: justify;">Para el 2022 el PIB per cápita, se contrajo a una tasa de 0.40% entre 2021-T04 al 2022-T01, en una reversión al crecimiento del trimestre anterior; gran parte de la contracción se debió a una caída en la inversión en inventario, la disminución de las exportaciones y el gasto público, y al crecimiento de las importaciones. Del mismo modo el gasto del consumidor aumentó a medida que los precios continuaron subiendo por lo que los estadounidenses gastaron más en servicios.</div><div style="text-align: justify;">Visto de esta manera para el 2022, el aumento en el gasto del consumidor parece especialmente preocupante, porque sugiere que este aumento en el gasto se debe a una disminución en el ingreso real permanente.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">1. Friedman, M. (1957). The Permanent Income Hypothesis. National Bureau of Economic Research(20-37). Obtenido de :<span style="color: #2b00fe;"> <a href="http://www.nber.org/chapters/c4405">http://www.nber.org/chapters/c4405</a></span></div><div style="text-align: justify;">2. Andolfatto, D., & Speawak, A. (17 de noviembre de 2016). Tendencias y ciclos. Obtenido de Blog de FRED: <a href="https://fredblog.stlouisfed.org/2016/11/trends-and-cycles/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog">https://fredblog.stlouisfed.org/2016/11/trends-and-cycles/?utm_source=series_page&utm_medium=related_content&utm_term=related_resources&utm_campaign=fredblog</a></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-73138611773677299142022-04-28T17:54:00.006-05:002022-05-03T22:16:25.772-05:00¿Diferencia entre el MERCOSUR y la Gran Colombia?<div style="text-align: justify;">La Gran Colombia, fue disuelta hace 10 años por diferencias entre Venezuela y Colombia, mientras que, MERCOSUR, en sus 31 años de creación ha visto grandes avances no solo en integración económica, así como el tratado “Protocolo de Olivos de 2002 para la Solución de Controversias”. Este tratado muestra la importancia de resolver las diferencias a fin de poder cumplir con el objetivo de “Propiciar un espacio común para generar oportunidades comerciales e inversiones a través de la integración competitiva”.<span><a name='more'></a></span></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">De esta manera la Gran Colombia tiene el objetivo de unificar a los estados participantes (Colombia, Ecuador, Venezuela y Panamá), mientras que MERCOSUR busca la libre circulación de bienes y servicios, así como la eliminación de derechos aduaneros, el establecimiento de arancel común y la coordinación de políticas macroeconómicas y sectoriales entre los estados.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">En relación al Producto Bruto Interno, la Gran Colombia presenta 500 billones de dólares y MERCOSUR genera 2190 billones de dólares. Es importante considerar que el recurso más importante de la Gran Colombia es el petróleo, que es considerada como la reserva del mundo, mientras que MERCOSUR tiene se caracteriza por sus reservas de minerales y energéticas.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Una mirada más detallada a las economías de la Gran Colombia nos muestra cómo se podría beneficiar cada país, por ejemplo:</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Colombia: Respecto a su economía sufre choques externos debido a la baja dinamización de su productividad, la depreciación del peso, así como la presencia de la informalidad y el alto endeudamiento dificultan su repunte económico.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Ecuador: La desestabilización macroeconómica y la falta de credibilidad en el banco central provocó que Ecuador adoptara el dólar como su moneda local lo que controló la inflación, así como la atracción de la inversión privada, sin embargo, hay puntos a mejorar.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Panamá: De los 4 miembros, Panamá es el país con mayor potencial hacia el futuro, con oportunidades en la minería del cobre, construcción, manufactura y el comercio, así como los ingresos del canal de Panamá son buenos indicadores para un continuo desarrollo de su economía.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Venezuela: Su economía ha sido fuertemente golpeada por la volatilidad en el precio del petróleo, el no diversificar su economía y su débil política fiscal les ha costado perder el control del país.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Por su parte las economías del MERCOSUR:</div><div style="text-align: justify;"><ul><li>Argentina: Su economía se enfrenta a grandes desbalances macroeconómicos, así como la emisión monetaria agrava la situación del país, sin embargo, Argentina aún goza de recursos naturales en energía, agricultura y un potencial para energías renovables.</li><li>Brasil: Es considerada como la economía más grande de Sudamérica. La recesión que ocurrió hace más de una década ha dejado secuelas, como la deuda pública, que asciende a más del 90%; asimismo la desigualdad en su población refleja su debilidad en los programas sociales y su pobre manejo de las instituciones públicas evitan mostrar el verdadero potencial de Brasil.</li><li>Paraguay: Su economía ha mantenido una deuda pública e inflación relativamente baja, un factor importante para su economía son las exportaciones de soja y energía hidroeléctrica.</li><li>Uruguay: Se caracteriza por una economía que presenta la mayor clase media de América, la escasa corrupción y la confianza en sus instituciones propician. Su aporte se centra básicamente en la exportación de carne, soja y madera.</li></ul></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Referencias</div><div style="text-align: justify;"><ul><li>Mundial, G. B. (2022). Banco Mundial. Obtenido de <a href="#">https://www.bancomundial.org/es/where-we-work</a></li><li>Bellina, J. (2003). Economía de la integración análisis económico del MERCOSUR. Rosario: Invenio.</li><li>Unidas, N. (2021). Treinta años del MERCOSUR: en busca de una estrategia exportadora exitosa. Brasilia: CEPAL.</li></ul></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-15848295077672808412022-04-26T17:35:00.004-05:002022-05-03T22:16:33.812-05:00¿Cuál es el impacto de la educación y salud, en el IDH?<div style="text-align: justify;">El Índice de Desarrollo Humano (IDH), es un índice que tiene como fin medir tres dimensiones básicas para el desarrollo humano, compuesto por:Salud: medido a través de la esperanza de vida al nacer, en el cálculo se tendrá como mínimo de 20 y 85 puntos como máximo.</div><div style="text-align: justify;"><ul><li>Educación: basado en dos principales factores, así como, los años previstos de escolarización (0 a 18) y promedio de años de escolarización (0 a 15).</li><li>Nivel de vida: explicado por la renta nacional bruta per cápita, definido con un mínimo de 100 dólares PPA y un máximo de 75000 dólares, se usa el Poder de Paridad Adquisitivo para eliminar diferencias entre los niveles de precios nacionales.<span><a name='more'></a></span></li></ul></div><div style="text-align: justify;">Estas tres dimensiones tienen un índice por separado, al realizar la media geométrica arrojará un valor entre 0 y 1, el cual sirve como referencia para distinguir el nivel de desarrollo de un país: muy alto (IDH superior a 0.800), alto (IDH entre 0.700 y 0.799), medio (IDH entre 0.550 a 0.699) y bajo (IDH inferior a 0.55).</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Pérez (2008) llega a la conclusión que el factor educación explica casi el 66% de la variabilidad de la muestra total y el 45% de la existente en los países con IDH medio, mientras que, el factor sanidad es el más relevante en los países con menor IDH. Para ello, se empleó un modelo de análisis confirmatorio, a fin de que se puedan contrastar las variables conformadas por el IDH.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Esta carga factorial para los años 2008-2017 presentaron ciertos cambios en las variables, así como para la esperanza de vida bajó de 0.88 en 2003 a 0.76 en 2008 y la carga factorial del ingreso pasó de 0.78 a 0.89 en el mismo periodo, corroborando la teoría de que el ingreso es fundamental como mecanismo para satisfacer las necesidades humanas (Torres y Allepuz, 2009).</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Sin embargo, Ul Haq (1995), crítica las estrategias usadas para el cálculo del desarrollo humano debido a que está centrado en gastos de educación y salud, realizando poca justicia al concepto de desarrollo humano como paradigma holístico que significa: productividad y equidad, economía y desarrollo social, bienestar material y bienestar humano. Asimismo, existen algunas críticas sobre la ponderación para todas las variables, debido a que el ingreso debería tener una mayor ponderación, porque es el medio para adquirir servicios de calidad (Kelley, 1991; Mancera, 2001).</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">En conclusión, hay variaciones en las cargas factoriales a través del tiempo para las variables seleccionadas en el IDH, por lo tanto, existe la necesidad de añadir nuevas variables que expliquen la realidad como tal.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Referencias:</div><div style="text-align: justify;"><ul><li>Reports, H. D. (2022). UNITED NATIONS DEVELOPMENT PROGRAMME. Obtenido de <a href="#">https://hdr.undp.org/en/content/human-development-index-hdi</a></li><li>Reports, U. N. (2020). UNITED NATIONS DEVELOPMENT PROGRAMME. Obtenido de <a href="#">https://hdr.undp.org/en/content/hdr-technical-notes</a></li><li>Pérez Mesa, Juan Carlos (2008). Factores relevantes en la medición de la pobreza y el desarrollo humano: índices PNUD. Revista de Economía Mundial, (19),183-197.[fecha de Consulta 19 de Abril de 2022]. ISSN: 1576-0162. Disponible en: <a href="#">https://www.redalyc.org/articulo.oa?id=86601909</a></li><li>Sánchez, M & Caballero, M (2019). Índice de desarrollo humano modificado por la variable de acceso a salud. [Tesis de bachiller inédita]. Universidad la Sabanda.</li></ul></div>Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-4212398242199934749.post-82525338800665420292022-04-25T21:23:00.005-05:002022-05-03T22:16:41.447-05:00¿Impacto de los precios de los commodities en el Producto Bruto Interno del Perú?<div style="text-align: justify;">La minería es una de las principales actividades económicas del Perú, esto debido a que es clave para las exportaciones del país, al representar un 18% del PBI y el 50% de los ingresos de divisas a la economía nacional en el 2021.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Es conveniente resaltar que las economías en vías de desarrollo están vinculadas al comportamiento del escenario internacional; como se conoce, el crecimiento a tasas elevadas de economías como China1, entre otras, hicieron que el precio de los commodities se elevarán, potenciando el producto bruto interno (PBI) del país. Así también durante la crisis financiera internacional del 2008-29, el precio de los commodities sufrió un descenso en comparación con los años anteriores, a excepción del precio del oro (considerado un valor refugio) provocando una desaceleración de la economía del Perú.</div><span><a name='more'></a></span><div style="text-align: justify;"><br /></div><div style="text-align: justify;">En el 2020, la actividad económica mundial cayó de manera pronunciada asociada a la expansión de la pandemia del COVID-19, por consiguiente, las cotizaciones de los principales metales presentaron caídas significativas, no obstante, en el segundo semestre del año, dicha contracción fue atenuada con la reapertura progresiva de los sectores en la mayoría de países industriales, permitiendo la recuperación de las cotizaciones de las materias primas.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Figura 1: Diagrama de series de tiempo entre el precio de los minerales y el producto bruto interno del Perú, Ene_2001-Ene_2022</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><img src="https://lh4.googleusercontent.com/VGw682IduC8_5dopioJjWowk3E9Xu6SCnyI3DhQ1cMYTfpsDmQkuMvKXUTABeoxRXV5PVr5U3W9wT_VB5WQUHu-pz01kOTYNOgH6rd5PyTw0OJUInhFaBrRRTtEEpii5DgoPLZ8y" /></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Fuente: BCRP, FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">La literatura económica muestra evidencia que los shocks externos generan cambios en los precios de los commodities, impactando en la economía de los países dependientes de las exportaciones de minerales. Esto puede ser corroborado con el coeficiente de correlación (r) entre índice de precios del productor de metales (var% 3 meses) y el producto bruto interno peruano (var% 12 meses), y tal como se aprecia en la figura 2, la correlación entre estas dos variables es directa y tiene un valor de 0.3521. Esto da una clara señal que el precio de estos dos commodities mineros en el mercado internacional; es importante para la economía peruana.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Figura 2: Diagrama de dispersión y recta de tendencia del precio de los minerales y el producto bruto interno del Perú, Ene_2001-Ene_2022.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;"><img src="https://lh5.googleusercontent.com/MblWl3d0yuECqueRUXEZzOa7x4vQsH2djbXaOEZr0lr95dGNbpvYb6w48n7wWFnUtYRMtbdxbgie5F4wsf0DKRquGH8qYaKTE86CVBX6AHL9z-3aqQItYCCc-_XiCSxYlqLNrQe8" /></div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Fuente: BCRP, FRED | Elaboración: EMECEP Consultorías</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Es cierto que esta actividad minera genera pasivos que no han sido mitigados, pero también es cierto que los procesos de producción han mejorado y han contribuido a mitigando los problemas ambientales. Sin embargo, la crisis política que embarga al país empaña las posibilidades de sacar ventaja de una coyuntura de altos precios de los commodities, por lo que es necesario corregir las fallas en el sector. Asimismo, es necesario estar por encima de la teoría de las ventajas comparativas, atribuibles a Ricardo, D. (1817), para que la fluctuación de los precios de los commodities no se convierta en un riesgo para la economía.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Referencias</div><div style="text-align: justify;"><ul><li>Rodríguez, A.; Mendel, M.; Sucuple, A. y Chávez, D. (diciembre del 2019). Efectos de un shock en el precio del cobre sobre las variables macroeconómicas del Perú. [Archivo PDF]. https://www.osinergmin.gob.pe/seccion/centro_documental/Institucional/Estudios_Economicos/Documentos_de_Trabajo/Osinergmin-Documento-Trabajo-47-GPAE.pdf</li></ul></div>Anonymousnoreply@blogger.com0