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Systemic Risk Measures

Author

Listed:
  • Solange Maria Guerra
  • Benjamin Miranda Tabak
  • Rodrigo Andrés de Souza Penaloza
  • Rodrigo César de Castro Miranda

Abstract

In this paper we present systemic risk measures based on contingent claims approach, banking sector multivariate density and cluster analysis. These indicators aim to capture credit risk stress and its potential to become systemic. The proposed measures capture not only individual bank vulnerability, but also the stress dependency structure between them. Furthermore, these measures can be quite useful for identifying systematically important banks. The empirical results show that these indicators capture with considerable fidelity the moments of increasing systemic risk in the Brazilian banking sector in recent years.

Suggested Citation

  • Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Andrés de Souza Penaloza & Rodrigo César de Castro Miranda, 2013. "Systemic Risk Measures," Working Papers Series 321, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:321
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    References listed on IDEAS

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    Cited by:

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    3. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
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    6. João Barata Ribeiro Blanco Barroso & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2016. "Systemic Risk-Taking Channel of Domestic and Foreign Monetary Policy," Working Papers Series 412, Central Bank of Brazil, Research Department.
    7. Jacob Kleinow & Tobias Nell, 2015. "Determinants of systemically important banks: the case of Europe," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 7(4), pages 446-476, November.
    8. Saidane, Dhafer & Sène, Babacar & Désiré Kanga, Kouamé, 2021. "Pan-African banks, banking interconnectivity: A new systemic risk measure in the WAEMU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
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    10. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.
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    14. da Rosa München, Douglas, 2022. "The effect of financial distress on capital structure: The case of Brazilian banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 296-304.
    15. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2016. "Evaluating systemic risk using bank default probabilities in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 66(C), pages 54-75.
    16. Silva, Thiago Christiano & Dias, Felipe A.M. & dos Reis, Vinicius E. & Tabak, Benjamin M., 2022. "The role of network topology in competition and ticket pricing in air transportation: Evidence from Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).
    17. Juan Eberhard & Jaime F. Lavín & Alejandro Montecinos-Pearce & José Arenas, 2019. "Analyzing Stock Brokers’ Trading Patterns: A Network Decomposition and Spatial Econometrics Approach," Complexity, Hindawi, vol. 2019, pages 1-18, July.

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