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A Network model of systemic risk: identifying the sources of dependence across institutions

Author

Listed:
  • Carlos Castro
  • Juan Sebastian Ordonez

Abstract

We design a financial network model that explicitly incorporates linkages across institutions through a direct contagion channel, as well as an indirect common exposure channel. In particular, common exposure is setup so as to link the fi nancial to the real sector. The model is calibrated to balance sheet data on the colombian fi nancial sector. Results indicate that commercial banks are the most systemically important financial institutions in the system. Whereas government owned institutions are the most vulnerable institutions in the system.

Suggested Citation

  • 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.
    • Handle: RePEc:col:000092:009651
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    File URL: http://repository.urosario.edu.co/bitstream/handle/10336/11284/9651.pdf
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    References listed on IDEAS

    as
    1. Edson Bastos Santos & Rama Cont, 2010. "The Brazilian Interbank Network Structure and Systemic Risk," Working Papers Series 219, Central Bank of Brazil, Research Department.
    2. Carlos Castro Iragorri & Stijn Ferrari, 2010. "Measuring the systemic importance of financial institutions using market information," Financial Stability Review, National Bank of Belgium, vol. 8(1), pages 127-141, June.
    3. Carlos Léon & Clara Machado & Freddy Cepeda & Miguel Sarmiento, 2011. "Too-connected-to-fail Institutions and Payments System’s Stability: Assessing Challenges for Financial Authorities," Borradores de Economia 644, Banco de la Republica de Colombia.
    4. Mr. Jorge A Chan-Lau, 2010. "Regulatory Capital Charges for Too-Connected-to-Fail Institutions: A Practical Proposal," IMF Working Papers 2010/098, International Monetary Fund.
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    6. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    7. 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," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(65), pages 106-175, June.
    8. Mr. Jorge A Chan-Lau, 2010. "Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems," IMF Working Papers 2010/107, International Monetary Fund.
    9. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
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    11. Dairo Estrada & Paola Morales Acevedo, 2008. "La estructura del mercado interbancario y del riesgo de contagio en Colombia," Temas de Estabilidad Financiera 030, Banco de la Republica de Colombia.
    12. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "The role of banks in the Brazilian interbank market: Does bank type matter?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6825-6836.
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    More about this item

    Keywords

    systemic risk; network models; contagion; common exposure;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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