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Riesgo Sist�mico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: An�lisis bajo Topolog�a de Redes y Simulaci�n de Pagos

Author

Listed:
  • Clara Lia Machado
  • Carlos Le�n
  • Miguel Sarmiento
  • Orlando Chipatecua

Abstract

Este documento estudia la estabilidad del sistema de pagos (SP) de alto valor en Colombia (CUD) ante el incumplimiento de una entidad sist�micamente importante, y eval�a la capacidad de respuesta de las entidades afectadas a partir de la utilizaci�n de sus recursos y a trav�s de los mecanismos de liquidez que brinda el Banco de la Rep�blica. De acuerdo con la literatura reciente, las entidades sist�micamente importantes se identifican bajo el concepto de too-connected-to-fail (TCTF) para diferentes escenarios de volatilidad del mercado de TES y de actividad del SP. La estabilidad del SP se eval�a mediante Topolog�a de Redes (TR) y un Modelo de Simulaci�n de Pagos (MSP), el cual incorpora un algoritmo de resoluci�n de colas recursivo tipo FIFO (First In First Out) y un algoritmo de compensaci�n multilateral. Los resultados de la TR sugieren que el CUD es una red de tama�o mediano, robusta, estable y concentrada. El MSP mostr�, adem�s, que variables como los saldos de las entidades en el CUD, la oportunidad de las transacciones intrad�a, y la concentraci�n de liquidez, inciden sobre el n�mero de entidades afectadas. Se encontr� que la mayor�a de las entidades cuenta con mecanismos que les permiten solventar la iliquidez temporal en el SP. Sin embargo, existen entidades que, por su estructura y especialidad de su negocio, deben hacer un mayor esfuerzo en la administraci�n del riesgo de liquidez.

Suggested Citation

  • Clara Lia Machado & Carlos Le�n & Miguel Sarmiento & Orlando Chipatecua, 2010. "Riesgo Sist�mico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: An�lisis bajo Topolog�a de Redes y Simulaci�n de Pagos," Borradores de Economia 7669, Banco de la Republica.
  • Handle: RePEc:col:000094:007669
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    Cited by:

    1. Carlos Castro & Juan Sebastian Ordonez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," Documentos de Trabajo 9651, Universidad del Rosario.
    2. Carlos León, 2012. "Estimating financial institutions’ intraday liquidity risk: a Monte Carlo simulation approach," Borradores de Economia 703, Banco de la Republica de Colombia.
    3. Carlos L�on, 2012. "Estimating financial institutions� intraday liquidity risk: a Monte Carlo simulation approach," Borradores de Economia 9441, Banco de la Republica.

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    Keywords

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    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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