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A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector

Author

Listed:
  • Francisco Vazquez
  • Benjamin M. Tabak
  • Marcos Souto

Abstract

This paper proposes a model to conduct macro stress test of credit risk for the banking system based on scenario analysis. We employ an original bank level data set with disaggregated credit loans for business and consumer loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between (the logistic transformation of) NPLs and GDP growth, with a lag response up to three quarters. The models also indicate substantial variations in the cyclical behavior of NPLs across credit types. Stress tests suggest that the banking system is well prepared to absorb the credit losses associated with a set of distressed macroeconomic scenarios without threatening financial stability.

Suggested Citation

  • Francisco Vazquez & Benjamin M. Tabak & Marcos Souto, 2010. "A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector," Working Papers Series 226, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:226
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    References listed on IDEAS

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    Cited by:

    1. Memmel, Christoph & Gündüz, Yalin & Raupach, Peter, 2015. "The common drivers of default risk," Journal of Financial Stability, Elsevier, vol. 16(C), pages 232-247.
    2. Pierre-Richard Agénor & Luiz A. Pereira da Silva, 2013. "Inflation Targeting and Financial Stability: A Perspective from the Developing World," Working Papers Series 324, Central Bank of Brazil, Research Department.
    3. repec:ibn:ibrjnl:v:11:y:2018:i:4:p:154-163 is not listed on IDEAS
    4. Guerra, Solange Maria & Silva, Thiago Christiano & Tabak, Benjamin Miranda & de Souza Penaloza, Rodrigo Andrés & de Castro Miranda, Rodrigo César, 2016. "Systemic risk measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 329-342.
    5. Green, Christopher & Bai, Ye & Murinde, Victor & Ngoka, Kethi & Maana, Isaya & Tiriongo, Samuel, 2016. "Overnight interbank markets and the determination of the interbank rate: A selective survey," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 149-161.
    6. Francesco Grigoli & Mario Mansilla & Martín Saldías, 2016. "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections; An Application to Ecuador," IMF Working Papers 16/236, International Monetary Fund.
    7. Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014. "Directed clustering coefficient as a measure of systemic risk in complex banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 211-216.
    8. repec:spt:fininv:v:6:y:2017:i:4:f:6_4_1 is not listed on IDEAS
    9. Aleš Melecký & Martin Melecký & Monika Šulganová, 2015. "Úvěry v selhání a makroekonomika: modelování systémového kreditního rizika v České republice
      [Non-Performing Loans and The Macroeconomy: Modeling the Systemic Credit Risk in the Czech Republic]
      ," Politická ekonomie, University of Economics, Prague, vol. 2015(8), pages 921-947.
    10. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    11. Horváth, Roman & Vaško, Dan, 2016. "Central bank transparency and financial stability," Journal of Financial Stability, Elsevier, vol. 22(C), pages 45-56.
    12. Patrick Van Roy & Stijn Ferrari & Cristina Vespro, 2018. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Working Paper Research 338, National Bank of Belgium.
    13. repec:vrs:demode:v:4:y:2016:i:1:p:26:n:15 is not listed on IDEAS
    14. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    15. Ruja, Catalin, 2014. "Macro Stress-Testing Credit Risk in Romanian Banking System," MPRA Paper 58244, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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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