The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios

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Purpose. Fama–French model (FFM) has been successful in helping to predict the financial markets, but investors have been interested in creating more sophisticated models to better predict the performance of the stock market. The objective of the extended version is to create a more robust econometr...

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Detalles Bibliográficos
Autores: Saucedo, Eduardo, González, Jorge
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad ESAN
Repositorio:ESAN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.esan.edu.pe:20.500.12640/2832
Enlace del recurso:https://revistas.esan.edu.pe/index.php/jefas/article/view/560
https://hdl.handle.net/20.500.12640/2832
https://doi.org/10.1108/JEFAS-03-2021-0010
Nivel de acceso:acceso abierto
Materia:Fama–French model
Extended Fama–French model
Mexican Stock Market
Macroeconomic variables
Modelo Fama-Francés
Modelo Fama-Francés ampliado
Mercado de Valores Mexicano
Variables macroeconómicas
https://purl.org/pe-repo/ocde/ford#5.02.04
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dc.title.en_EN.fl_str_mv The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
title The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
spellingShingle The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
Saucedo, Eduardo
Fama–French model
Extended Fama–French model
Mexican Stock Market
Macroeconomic variables
Modelo Fama-Francés
Modelo Fama-Francés ampliado
Mercado de Valores Mexicano
Variables macroeconómicas
https://purl.org/pe-repo/ocde/ford#5.02.04
title_short The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
title_full The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
title_fullStr The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
title_full_unstemmed The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
title_sort The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
author Saucedo, Eduardo
author_facet Saucedo, Eduardo
González, Jorge
author_role author
author2 González, Jorge
author2_role author
dc.contributor.author.fl_str_mv Saucedo, Eduardo
González, Jorge
dc.subject.en_EN.fl_str_mv Fama–French model
Extended Fama–French model
Mexican Stock Market
Macroeconomic variables
topic Fama–French model
Extended Fama–French model
Mexican Stock Market
Macroeconomic variables
Modelo Fama-Francés
Modelo Fama-Francés ampliado
Mercado de Valores Mexicano
Variables macroeconómicas
https://purl.org/pe-repo/ocde/ford#5.02.04
dc.subject.es_ES.fl_str_mv Modelo Fama-Francés
Modelo Fama-Francés ampliado
Mercado de Valores Mexicano
Variables macroeconómicas
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.04
description Purpose. Fama–French model (FFM) has been successful in helping to predict the financial markets, but investors have been interested in creating more sophisticated models to better predict the performance of the stock market. The objective of the extended version is to create a more robust econometric model to better predict the performance of the Mexican Stock Market. Design/methodology/approach. The study divides the Mexican Stock Market into six different portfolios. The criteria to build those portfolios are the same one used in Fama–French (1992). The study comprises 78 stocks listed in the Mexican Stock Market that are analyzed monthly during 1997–2018. The study analyzes the period before and after the 2008–2009 financial crisis to identify whether there are important changes. The estimation applies the traditional and an extended version of the FFM that include macroeconomic variables such as country risk, economic activity, inflation rate, and exchange rate and some financial variables recommended in the literature. Findings. Results indicate that classic FFM variables are statistically significant in most cases, but relevant macroeconomic variables such as the interest rate, exchange rate and country risk stand out for being weakly relevant in most of the portfolios. However, it is noticed that some of these macroeconomic variables became relevant for different portfolios only after the 2008–2009 crisis, especially in portfolios which include small market capitalization firms. Research limitations/implications. The study includes the stocks listed in the Mexican Stock Market. One limitation is the small number of stocks available, which reduces the possibility of creating well diversified portfolios. This study includes 78 stocks. The stocks removed from the sample are from firms that were not listed during six consecutive months or whose market capitalization did not change in the same period. Outlier data were removed from the sample to capture in better way the general performance of the stock market. Practical implications. The objective of the extended version is to create a more robust econometric model than the traditional model. It is expected that such estimations can be helpful to investors to make better decisions when they try to predict performance in the stock market. Social implications. An extended version of the FFM can be helpful to investors to make better decisions when they try to predict performance in the stock market. Originality/value. To the best of our knowledge there are no more studies in the literature of the Mexican financial market that apply the same methodology.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2022-01-25T20:02:04Z
dc.date.available.none.fl_str_mv 2022-01-25T20:02:04Z
dc.date.issued.fl_str_mv 2021-12-19
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.none.fl_str_mv Saucedo, E., & González, J. (2021). The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios. Journal of Economics, Finance and Administrative Science, 26(52), 252–267. https://doi.org/10.1108/JEFAS-03-2021-0010
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1108/JEFAS-03-2021-0010
url https://revistas.esan.edu.pe/index.php/jefas/article/view/560
https://hdl.handle.net/20.500.12640/2832
https://doi.org/10.1108/JEFAS-03-2021-0010
identifier_str_mv Saucedo, E., & González, J. (2021). The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios. Journal of Economics, Finance and Administrative Science, 26(52), 252–267. https://doi.org/10.1108/JEFAS-03-2021-0010
dc.language.none.fl_str_mv Inglés
dc.language.iso.none.fl_str_mv eng
language_invalid_str_mv Inglés
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dc.relation.ispartof.none.fl_str_mv urn:issn:2218-0648
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spelling Saucedo, EduardoGonzález, Jorge2022-01-25T20:02:04Z2022-01-25T20:02:04Z2021-12-19https://revistas.esan.edu.pe/index.php/jefas/article/view/560Saucedo, E., & González, J. (2021). The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios. Journal of Economics, Finance and Administrative Science, 26(52), 252–267. https://doi.org/10.1108/JEFAS-03-2021-0010https://hdl.handle.net/20.500.12640/2832https://doi.org/10.1108/JEFAS-03-2021-0010Purpose. Fama–French model (FFM) has been successful in helping to predict the financial markets, but investors have been interested in creating more sophisticated models to better predict the performance of the stock market. The objective of the extended version is to create a more robust econometric model to better predict the performance of the Mexican Stock Market. Design/methodology/approach. The study divides the Mexican Stock Market into six different portfolios. The criteria to build those portfolios are the same one used in Fama–French (1992). The study comprises 78 stocks listed in the Mexican Stock Market that are analyzed monthly during 1997–2018. The study analyzes the period before and after the 2008–2009 financial crisis to identify whether there are important changes. The estimation applies the traditional and an extended version of the FFM that include macroeconomic variables such as country risk, economic activity, inflation rate, and exchange rate and some financial variables recommended in the literature. Findings. Results indicate that classic FFM variables are statistically significant in most cases, but relevant macroeconomic variables such as the interest rate, exchange rate and country risk stand out for being weakly relevant in most of the portfolios. However, it is noticed that some of these macroeconomic variables became relevant for different portfolios only after the 2008–2009 crisis, especially in portfolios which include small market capitalization firms. Research limitations/implications. The study includes the stocks listed in the Mexican Stock Market. One limitation is the small number of stocks available, which reduces the possibility of creating well diversified portfolios. This study includes 78 stocks. The stocks removed from the sample are from firms that were not listed during six consecutive months or whose market capitalization did not change in the same period. Outlier data were removed from the sample to capture in better way the general performance of the stock market. Practical implications. The objective of the extended version is to create a more robust econometric model than the traditional model. It is expected that such estimations can be helpful to investors to make better decisions when they try to predict performance in the stock market. Social implications. An extended version of the FFM can be helpful to investors to make better decisions when they try to predict performance in the stock market. Originality/value. To the best of our knowledge there are no more studies in the literature of the Mexican financial market that apply the same methodology.Propósito: El modelo Fama-French (FFM) ha tenido éxito en ayudar a predecir los mercados financieros, pero los inversionistas han estado interesados ​​en crear modelos más sofisticados para predecir mejor el desempeño del mercado de valores. El objetivo de la versión extendida es crear un modelo econométrico más robusto para predecir mejor el desempeño de la Bolsa Mexicana de Valores. Diseño/metodología/enfoque: El estudio divide la Bolsa Mexicana de Valores en seis portafolios diferentes. Los criterios para construir esas carteras son los mismos utilizados en Fama-French (1992). El estudio comprende 78 acciones listadas en la Bolsa Mexicana de Valores que se analizan mensualmente durante 1997-2018. El estudio analiza el período anterior y posterior a la crisis financiera de 2008-2009 para identificar si hay cambios importantes. La estimación aplica la versión tradicional y una extendida del FFM que incluye variables macroeconómicas como riesgo país, actividad económica, tasa de inflación y tipo de cambio y algunas variables financieras recomendadas en la literatura. Hallazgos: Los resultados indican que las variables clásicas del FFM son estadísticamente significativas en la mayoría de los casos, pero variables macroeconómicas relevantes como la tasa de interés, el tipo de cambio y el riesgo país destacan por ser débilmente relevantes en la mayoría de las carteras. Sin embargo, se observa que algunas de estas variables macroeconómicas cobraron relevancia para diferentes carteras sólo después de la crisis de 2008-2009, especialmente en carteras que incluyen empresas de pequeña capitalización de mercado. Limitaciones/implicaciones de la investigación: El estudio incluye las acciones listadas en la Bolsa Mexicana de Valores. Una limitación es el pequeño número de acciones disponibles, lo que reduce la posibilidad de crear carteras bien diversificadas. Este estudio incluye 78 acciones. Las acciones eliminadas de la muestra pertenecen a empresas que no cotizaron durante seis meses consecutivos o cuya capitalización de mercado no cambió en el mismo período. Los datos atípicos se eliminaron de la muestra para captar mejor el desempeño general del mercado de valores. Implicaciones prácticas: El objetivo de la versión extendida es crear un modelo econométrico más robusto que el modelo tradicional. Se espera que estas estimaciones puedan resultar útiles para que los inversores tomen mejores decisiones cuando intentan predecir el rendimiento del mercado de valores. Implicaciones sociales: una versión ampliada del FFM puede resultar útil para que los inversores tomen mejores decisiones cuando intentan predecir el rendimiento del mercado de valores. Originalidad/valor: Hasta donde sabemos no existen más estudios en la literatura del mercado financiero mexicano que apliquen la misma metodología.application/pdfInglésengUniversidad ESAN. 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