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

Author

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  • Wilmar Alexander Cabrera Rodríguez
  • Luis Fernando Melo Velandia
  • Daniel Parra Amado

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. ****** This paper estimates the effects of financial and real shocks on 111 variables of the Colombian economy for the sample period 2003-2013. An extension of the FAVAR model proposed by Bernanke, Boivin, & Eliasz (2005) is used; in this case the series are explained by both, a common component and an idiosyncratic component. Two exercises were performed: (i) impulse responses analysis for both, shocks in the real factor and shocks in the financial factor, and (ii) analysis of a stress event impact on the financial sector over the real sector and vice versa. For the latter, an alternative measure of CoVaR is proposed, this measure is called CoFaR. The results suggest that the close links between the two sectors propagate the shocks in both directions. In particular, the financial sector reacts quicker to a shock on real activity than the effect of a financial shock over real sector.

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 República, vol. 32(75), pages 1-22.
  • Handle: RePEc:col:000107:012409
    DOI: 10.1016/j.espe.2014.08.001
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    Cited by:

    1. 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.
    2. 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.

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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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