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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 Machado
  • Carlos León
  • Miguel Sarmiento
  • Freddy Cepeda
  • Orlando Chipatecua
  • Jorge Cely

Abstract

Este artículo 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 sistémica¬mente 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 First In First Out (FIFO) y un algoritmo de compensación multilateral.

Suggested Citation

  • Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo Topología De Redes Y Simulación De Pagos," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 29(65), pages 106-175, June.
    • Handle: RePEc:col:000107:009972
    DOI: 10.32468/Espe.6503
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    Cited by:

    1. 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, December.
    2. Joaquin Bernal & Freddy Cepeda L. & Fabio Ortega C., 2011. "Cuantificación de la contribución de las fuentes de liquidez en el Sistema de Pagos de Alto Valor en Colombia: una aproximación preliminar," Borradores de Economia 683, Banco de la Republica de Colombia.
    3. 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.
    4. 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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