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Assessing Systemic Risk in the Brazilian Interbank Market

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  • Benjamin M. Tabak
  • Sergio R. S. Souza
  • Solange M. Guerra

Abstract

In this paper, we propose a methodology to measure systemic risk that stems from financial institutions (FIs) interconnected in interbank markets. We show that this framework is useful to identify systemically important FIs. This methodology can be used to perform stress tests using additional information from FIs default probabilities and their correlation structure. We present how to implement this methodology and apply it to the Brazilian case. We also evaluate the effects of the recent global crisis on the interbank market.

Suggested Citation

  • Benjamin M. Tabak & Sergio R. S. Souza & Solange M. Guerra, 2013. "Assessing Systemic Risk in the Brazilian Interbank Market," Working Papers Series 318, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:318
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    Cited by:

    1. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    2. Carlos León & Constanza Martínez-Ventura & Freddy Cepeda-López, 2019. "Short-Term Liquidity Contagion in the Interbank Market," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(76), pages 51-80, January.
    3. Saibal Ghosh, 2016. "Capital Buffer, Credit Risk and Liquidity Behaviour: Evidence for GCC Banks," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(4), pages 539-569, December.
    4. Affinito, Massimiliano & Franco Pozzolo, Alberto, 2017. "The interbank network across the global financial crisis: Evidence from Italy," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 90-107.
    5. Souza, Sergio R.S. & Tabak, Benjamin M. & Silva, Thiago C. & Guerra, Solange M., 2015. "Insolvency and contagion in the Brazilian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 140-151.
    6. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    7. Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.
    8. Jacob Kleinow & Andreas Horsch & Mario Garcia-Molina, 2017. "Factors driving systemic risk of banks in Latin America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 211-234, April.
    9. FUJIWARA Yoshi & TERAI Masaaki & FUJITA Yuji & SOUMA Wataru, 2016. "DebtRank Analysis of Financial Distress Propagation on a Production Network in Japan," Discussion papers 16046, Research Institute of Economy, Trade and Industry (RIETI).
    10. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

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