Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Part of book or chapter of book . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Part of book or chapter of book . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Part of book or chapter of book . 2021
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Programas de apoyo a los deudores de la banca mexicana y su efecto en los índices morosidad durante la pandemia de COVID-19 / Mexican Banking Debtor Support Programs and their Effect on Delinquency Rates During the COVID-19 Pandemic

Authors: José Antonio Morales Castro; Patricia Margarita Espinosa Jiménez; Guillermo Velázquez Valadez;

Programas de apoyo a los deudores de la banca mexicana y su efecto en los índices morosidad durante la pandemia de COVID-19 / Mexican Banking Debtor Support Programs and their Effect on Delinquency Rates During the COVID-19 Pandemic

Abstract

{"references": ["Anderson D., Sweeney D. y Williams T. (2008). Estad\u00edstica para administraci\u00f3n y econom\u00eda (10\u00aa ed.). CENGAGE Learning.", "B\u00e1rcena, A. (2020, abril 3). Coyuntura, escenarios y proyecciones hacia 2030 ante la presente crisis de Covid-19 [Presentaci\u00f3n PPT]. https://bit.ly/3crs7o2", "Tasc\u00f3n, M. y Casta\u00f1o, F. (2012, enero/julio). Variables y modelos para la identificaci\u00f3n y predicci\u00f3n del fracaso empresarial: revisi\u00f3n de la investigaci\u00f3n emp\u00edrica reciente. Revista de Contabilidad, 15(1), 7-58. https://doi.org/f2kqzh", "Armend\u00e1riz, T. y Ram\u00edrez, C. (2017, octubre/diciembre). Estimaci\u00f3n de un \u00edndice de condiciones financieras para M\u00e9xico.\u00a0El trimestre econ\u00f3mico,\u00a084(336), 899-946. https://doi.org/gg64", "Avalos, M., y Hern\u00e1ndez, F. (2008). Competencia bancaria en M\u00e9xico. Serie Estudios y Perspectivas (62). CEPAL. https://bit.ly/2SZeLbW", "BBVA Research (2020). Situaci\u00f3n Banca M\u00e9xico. Primer Semestre 2020. https://bbva.info/2TTrddp", "Boedo, L. y Calo, A. (2001, diciembre). Incidencia del tama\u00f1o sobre el comportamiento financiero de la empresa. Un an\u00e1lisis emp\u00edrico con pymes gallegas. Revista Galega de Econom\u00eda, 10(2), 1-23. https://bit.ly/3xO9TFc", "Chavar\u00edn, R. (2015, enero/junio). Morosidad en el pago de cr\u00e9ditos y rentabilidad de la banca comercial en M\u00e9xico.\u00a0Revista mexicana de econom\u00eda y finanzas,\u00a010(1), 73-85. https://bit.ly/35MP9ln", "Clavellina, M. (2020, julio). Sobre la estabilidad del Sistema Bancario ante la Crisis por COVID-19. Instituto Belisario Dom\u00ednguez. Senado de la Rep\u00fablica. https://bit.ly/34YfHQc", "Climent, S. (2016). El ciclo econ\u00f3mico y la morosidad. Departamento de Econom\u00eda Financiera y Actuarial. Facultad de Econom\u00eda. Universidad de Valencia. https://bit.ly/3v6aron", "CNBV (2020). Informaci\u00f3n de la situaci\u00f3n financiera: Sociedades Financieras Populares. (SOFIPOS). https://bit.ly/3w1jhoy", "CNBV. (2020, junio 30). Comunicado conjunto inicia proceso de liquidaci\u00f3n de Banco Ahorro Famsa, S.A., Instituci\u00f3n de Banca M\u00faltiple. https://bit.ly/2TTruwX", "CNBV. (2020, septiembre 23). Comunicado No. 076. https://bit.ly/2TZVyak", "CNBV. (2020). Criterios Contables Especiales, aplicables a instituciones de cr\u00e9dito, ante la Contingencia del COVID-19. https://bit.ly/3geCZqe", "CNBV. (2020). Informaci\u00f3n de la situaci\u00f3n financiera: Sociedad cooperativas de ahorro y pr\u00e9stamo (SOCAPS). https://bit.ly/3geD39s", "FMI (2009, abril). Informe de estabilidad financiera mundial. Respondiendo a la crisis financiera y midiendo riesgos sist\u00e9micos. https://bit.ly/3z7Ct6d", "FMI (2020, April). Perspectivas de la Econom\u00eda Mundial, abril de 2020. Cap\u00edtulo 1. https://bit.ly/2TM864N", "Gramlich, D., Miller, G., Oet, M., & Ong, S. (2010). Early Warning Systems for Systemic Banking Risk: Critical Review and Modeling Implications. Banks and Bank Systems 5.2(2010), 199-211. https://bit.ly/3AufPoX", "Guti\u00e9rrez, D., Gaggero, L., Mar\u00edn, S. y Mu\u00f1oz, C. (2019). Modelo propuesto para la identificaci\u00f3n y predicci\u00f3n de bancos en dificultades, seg\u00fan el contexto del Comit\u00e9 de Supervisi\u00f3n Bancaria de Basilea. Contadur\u00eda y Administraci\u00f3n, 64 (4), 1-37. https://doi.org/gg65", "Hair, J., Anderson, R., Tatham, R. y Black W. (1999). An\u00e1lisis multivariante. Pearson Prentice Hall.", "Honohan, P., & Klingebiel, D. (2003, August). The fiscal cost implications of an accommodating approach to banking crises. Journal of Banking & Finance, 27(8), 1539-1560. https://doi.org/cjvgpp", "HR Ratings (2019, marzo 15). An\u00e1lisis de la banca comercial en M\u00e9xico de 2012-2018. https://bit.ly/2T5g9tf", "Maudos, J. (2020). Resilencia de la banca espa\u00f1ola frente a la crisis del COVID-19. Cuadernos de informaci\u00f3n econ\u00f3mica, (276), 41-49. https://bit.ly/3inWoaZ", "Mendoza, E.( 2012). Un an\u00e1lisis de los factores que incrementaron el riesgo de liquidez en las Sofoles Hipotecarias de M\u00e9xico. Estudios Econ\u00f3micos CNBV.", "Mishkin, F. (2014). Moneda, Banca y Mercados Financieros (10\u00aa ed.). Pearson Educaci\u00f3n.", "Moreno, S. y Mota, L. (2013). An\u00e1lisis de la eficiencia del sistema bancario mexicano con respecto a otros pa\u00edses del mundo (Tesis de grado, ITESM, M\u00e9xico).", "Mosso-Mart\u00ednez, M. y L\u00f3pez-Herrera, F. (2020). Causas econ\u00f3micas de morosidad en la cartera hipotecaria titulizada en M\u00e9xico.\u00a0An\u00e1lisis Econ\u00f3mico,\u00a035(89). 215-238. https://bit.ly/2TQfoVo", "Nkusu, M. (2011, July 19). Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies. IMF Working Paper, 11(61). SSRN. https://bit.ly/36cVIxL", "Redondo, D. y Rodr\u00edguez, J. (2014, julio/diciembre). Crisis en las entidades de cr\u00e9dito espa\u00f1olas: Un estudio mediante an\u00e1lisis discriminante. Estudios de Econom\u00eda Aplicada, 32(2), 617-644. https://bit.ly/3gpmp7k", "Rodr\u00edguez, A. y Venegas, F. (2010, abril/junio). Indicadores de rentabilidad y eficiencia operativa de la banca comercial en M\u00e9xico.\u00a0Problemas del desarrollo,\u00a041(161), 165-187. https://bit.ly/3iodZzD", "Rodr\u00edguez, A. y Venegas, F. (2012). Liquidez y apalancamiento de la banca comercial en M\u00e9xico.\u00a0An\u00e1lisis Econ\u00f3mico,\u00a027(66), 73-96. https://bit.ly/2TVwwct", "S&P Global Ratings. (2018, octubre 19). An\u00e1lisis de Riesgos de la Industria Bancaria por Pa\u00eds: M\u00e9xico. https://bit.ly/352MVhf", "Sierra, G. (2017). An\u00e1lisis de contagio en el sistema financiero mexicano combinando el modelo de Merton y redes aleatorias.\u00a0Contadur\u00eda y administraci\u00f3n,\u00a062(1), 44-63. https://doi.org/gg66", "Torre, L. (2006, mayo). El sistema bancario en M\u00e9xico: a una d\u00e9cada de la crisis.\u00a0Ensayos: revista de econom\u00eda,\u00a025(1), 61-94. https://bit.ly/3zNsKCp", "Trejo-Garc\u00eda, J., R\u00edos-Bol\u00edvar, H. y Mart\u00ednez-Garc\u00eda, M. (2016, enero/junio). An\u00e1lisis de la administraci\u00f3n del riesgo crediticio en M\u00e9xico para tarjetas de cr\u00e9dito.\u00a0Revista mexicana de Econom\u00eda y Finanzas,\u00a011(1), 103-121. https://bit.ly/3jf6dbs"]}

Resumen Este trabajo de investigación tiene como objetivo evaluar el impacto de los programas de apoyo a los deudores de la banca en los índices de morosidad de la banca comercial de México, durante el periodo de crisis Covid-19, y el periodo previo. Se utilizó un análisis de varianza (ANOVA) que permitió evaluar si los índices de morosidad tuvieron cambios estadísticamente significativos en los dos periodos de análisis para tres grupos de bancos: (1) bancos grandes, (2) bancos medianos y (3) bancos pequeños con altos índices de morosidad. En los resultados se encontró que sólo los bancos pequeños con altos índices de morosidad durante 2019 tuvieron aumentos estadísticamente significativos durante el segundo trimestre de 2020, reflejando las dificultades de los deudores para saldar sus créditos. Lo que sugiere que los programas de ayuda a los deudores de la banca si mitigaron los efectos erosivos en las carteras de créditos de los bancos grandes y medianos durante el primer semestre de la pandemia sanitaria del año 2020. En el caso de los bancos grandes no tuvieron variaciones significativas en sus índices de morosidad. Abstract The objective of this research is to evaluate the impact of bank debtor support programs on the delinquency rates of Mexican commercial banks during the Covid-19 crisis period and the previous period. An analysis of variance (ANOVA) was used to evaluate whether delinquency rates had statistically significant changes in the two periods of analysis for three groups of banks: (1) large banks, (2) medium-sized banks and (3) small banks with high delinquency rates. The results found that only small banks with high delinquency rates during 2019 had statistically significant increases during the second quarter of 2020, reflecting debtors' difficulties in paying off their loans. Suggesting that bank debtor relief programs did mitigate the erosive effects on the loan portfolios of large and medium-sized banks during the first half of the 2020 health pandemic. In the case of large banks, there were no significant variations in their delinquency rates.

Código JEL: E44, G01, G21, G33, C53.

Keywords

Credit, Deuda, Instituciones financieras, COVID-19, Debs, Financial institutions, Crédito

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 3
    download downloads 3
  • 3
    views
    3
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
3
3
Green
Related to Research communities