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La topología de redes como herramienta de seguimiento en el Sistema de Pagos de Alto Valor en Colombia

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  • Freddy Hernán Cepeda López

Abstract

Las transferencias de fondos que se realizan entre los participantes en un sistema de pagos conforman redes de valor que, por su naturaleza, están expuestas a riesgos financieros de diverso género y, en particular, al potencial de riesgo sistémico. La incidencia que ello tendría sobre la estabilidad financiera, la transmisión de la política monetaria y la actividad económica son algunas de las razones que explican el interés de los Bancos Centrales por promover los objetivos de seguridad y eficiencia en los sistemas de pago. Los aportes de la física estadística en el análisis de redes complejas han permitido reconocer la estrecha relación existente entre la estructura, el funcionamiento de la red y su estabilidad. Soportado en esta rama de la física, este documento constituye una primera aplicación de la topología de redes al análisis de la red de valor que se conforma entre los participantes del Sistema de Pagos de Alto Valor CUD de Colombia. La identificación de la topología y de las propiedades de ésta red, junto con la cuantificación del impacto de algunos choques simulados sobre la estabilidad y el valor liquidado en la red, son los objetivos principales que persigue esta investigación. Se concluye que las eventuales perturbaciones simuladas tienen un efecto significativo sobre el flujo normal de los pagos, tanto por el resquebrajamiento de la infraestructura de pagos como por los problemas de coordinación que se derivan entre sus participantes. Con base en tales resultados es posible sugerir una serie de políticas encaminadas a garantizar el flujo normal de los pagos, ya sea mediante acciones preventivas que reduzcan la probabilidad de ocurrencia de interrupciones en el sistema o correctivas que permitan, ante la eventual realización de estas interrupciones, la pronta recuperación de la estabilidad de la red de pagos.

Suggested Citation

  • Freddy Hernán Cepeda López, 2008. "La topología de redes como herramienta de seguimiento en el Sistema de Pagos de Alto Valor en Colombia," Borradores de Economia 513, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:513
    DOI: 10.32468/be.513
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    1. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    2. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    3. Larry Eisenberg & Thomas H. Noe, 2001. "Systemic Risk in Financial Systems," Management Science, INFORMS, vol. 47(2), pages 236-249, February.
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    Cited by:

    1. Levy-Carciente, Sary & Kenett, Dror Y. & Avakian, Adam & Stanley, H. Eugene & Havlin, Shlomo, 2015. "Dynamical macroprudential stress testing using network theory," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 164-181.

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    More about this item

    Keywords

    redes; topología; interbancario; pagos; riesgo sistémico; CUD; Colombia;
    All these keywords.

    JEL classification:

    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G1 - Financial Economics - - General Financial Markets

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