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Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación de Pagos

Author

Listed:
  • Clara Lia Machado
  • Carlos León
  • 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 sistémicamente importante, y evalúa la capacidad de respuesta de las entidades afectadas a partir de la utilización de sus recursos y a través de los mecanismos de liquidez que brinda el Banco de la República. De acuerdo con la literatura reciente, las entidades sistémicamente 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 evalúa mediante Topología de Redes (TR) y un Modelo de Simulación de Pagos (MSP), el cual incorpora un algoritmo de resolución de colas recursivo tipo FIFO (First In First Out) y un algoritmo de compensación multilateral. Los resultados de la TR sugieren que el CUD es una red de tamaño mediano, robusta, estable y concentrada. El MSP mostró, además, que variables como los saldos de las entidades en el CUD, la oportunidad de las transacciones intradía, y la concentración de liquidez, inciden sobre el número de entidades afectadas. Se encontró que la mayoría 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 administración del riesgo de liquidez.

Suggested Citation

  • Clara Lia Machado & Carlos León & Miguel Sarmiento & Orlando Chipatecua, 2010. "Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación 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 Léon, 2012. "Estimating financial institutions´ intraday liquidity risk: a Monte Carlo simulation approach," Borradores de Economia 9441, Banco de la Republica.

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    More about this item

    Keywords

    Sistema de Pago; Riesgo Sistémico; Topología de Redes; Modelos de Simulación; Política Monetaria; Prestamista de Última Instancia; too-connected-to-fail.;
    All these keywords.

    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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