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Ciclos en el Sector Bancario Mexicano: un Índice Coincidente (CP1G7) vía ACP

Author

Listed:
  • Andrés Giovanni Camacho Ardila

    (Universidad Nacional Autónoma de México, México)

  • Federico Hernández Álvarez

    (Universidad Nacional Autónoma de México, México)

  • Luis Ignacio Román de la Sancha

    (Universidad Nacional Autónoma de México, México)

Abstract

Se propone construir un índice acerca de los ciclos financieros del sector bancario en México, usando métricas de desempeño del G7 y el ACP. Se compara este indicador con los ciclos económicos y financieros nacionales, así también se analiza el comportamiento de las métricas antes, durante y después de la crisis financiera Subprime y la crisis sanitaria COVID19. Se encontró que el Componente Principal 1 del G7 (CP1G7) es un indicador adecuado para medir el estado (recesión o expansión) que guarda el sistema bancario mexicano, así también, el ACP permitió identificar las variables que más impactan en cada periodo. No existe a nivel nacional un indicador acerca de los ciclos del sector bancario, ni un análisis de las métricas en periodos de crisis. El modelo no incluye variables exógenas (económicas o financieras). En conclusión, tanto el índice CP1G7 como el análisis de la dinámica de las métricas bancarias, son herramientas útiles para la detección temprana de posibles amenazas para la estabilidad financiera.

Suggested Citation

  • Andrés Giovanni Camacho Ardila & Federico Hernández Álvarez & Luis Ignacio Román de la Sancha, 2023. "Ciclos en el Sector Bancario Mexicano: un Índice Coincidente (CP1G7) vía ACP," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(4), pages 1-25, Octubre -.
    • Handle: RePEc:imx:journl:v:18:y:2023:i:4:p:8
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    References listed on IDEAS

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    1. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    2. Ms. Sally Chen & Katsiaryna Svirydzenka, 2021. "Financial Cycles – Early Warning Indicators of Banking Crises?," IMF Working Papers 2021/116, International Monetary Fund.
    3. Geoffrey H. Moore & Julius Shiskin, 1967. "Indicators of Business Expansions and Contractions," NBER Books, National Bureau of Economic Research, Inc, number moor67-2, December.
    4. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    5. Banco de España Strategic Plan 2024: Risk identification for the financial and macroeconomic stability, 2021. "How do central banks identify risks? A survey of indicators," Occasional Papers 2125, Banco de España.
    6. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.
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    Keywords

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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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