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Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR

Author

Listed:
  • Wilmar Alexander Cabrera Rodríguez

    (Banco de la Republica de Colombia)

  • Luis Fernando Melo Velandia

    (Banco de la Republica de Colombia)

  • Daniel Parra Amado

    (Banco de la Republica de Colombia)

Abstract

Este documento estima los efectos de choques de origen financiero y real sobre 111 variables de la economía colombiana, entre 2003 y 2013. Se utiliza una extensión del modelo FAVAR de Bernanke, Boivin y Eliasz (2005), que supone que las series, además de ser explicadas por el componente común, también son modeladas por un componente idiosincrático. Se realizan 2 ejercicios: a) análisis de impulso respuesta de las variables económicas frente a choques en los factores real y financiero, y b) descripción del efecto que tiene un evento de estrés en el sector financiero sobre el sector real y viceversa; para ello se propone el CoFaR, medida alterna al CoVaR que recientemente ha sido utilizada en la literatura económica (Adrian y Brunnermeier, 2011). Los resultados obtenidos sugieren que los estrechos vínculos entre los 2 sectores propagan los choques en ambas direcciones. En particular, el sector financiero reacciona de manera más rápida ante un choque en la actividad real, en comparación con el efecto de un choque financiero al sector real.

Suggested Citation

  • Wilmar Alexander Cabrera Rodríguez & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 32(75), pages 1-22, December.
    • Handle: RePEc:bdr:ensayo:v:32:y:2014:i:75:p:1-22
    DOI: 10.1016/j.espe.2014.08.001
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    Cited by:

    1. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    2. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.

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    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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