IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

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

  • Francisco Vazquez
  • Benjamin M. Tabak
  • Marcos Souto

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bcb.gov.br/pec/wps/ingl/wps226.pdf
Download Restriction: no

Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 226.

as
in new window

Length:
Date of creation: Nov 2010
Date of revision:
Handle: RePEc:bcb:wpaper:226
Contact details of provider: Web page: http://www.bcb.gov.br/?english

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
  2. Tabak, Benjamin M. & Staub, Roberta B., 2007. "Assessing financial instability: The case of Brazil," Research in International Business and Finance, Elsevier, vol. 21(2), pages 188-202, June.
  3. Blank, Sven & Buch, Claudia M. & Neugebauer, Katja, 2009. "Shocks at large banks and banking sector distress: the Banking Granular Residual," Discussion Paper Series 2: Banking and Financial Studies 2009,04, Deutsche Bundesbank, Research Centre.
  4. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
  5. Jan Willem van den End & Marco Hoeberichts & Mostafa Tabbae, 2006. "Modelling Scenario Analysis and Macro Stress-testing," DNB Working Papers 119, Netherlands Central Bank, Research Department.
  6. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
  7. Klaus Duellmann & Martin Erdelmeier, 2009. "Crash Testing German Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 139-175, September.
  8. Michael Boss & Gerald Krenn & Claus Puhr & Markus Schwaiger, 2007. "Stress Testing the Exposure of Austrian Banks in Central and Eastern Europe," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 13, pages 115-134.
  9. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
  10. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  11. Rodriguez, Adolfo & Trucharte, Carlos, 2007. "Loss coverage and stress testing mortgage portfolios: A non-parametric approach," Journal of Financial Stability, Elsevier, vol. 3(4), pages 342-367, December.
  12. Pesola, Jarmo, 2001. "The role of macroeconomic shocks in banking crises," Research Discussion Papers 6/2001, Bank of Finland.
  13. Kexue Liu & Jean Salvati & Renzo G. Avesani & Alin Mirestean, 2006. "Review and Implementation of Credit Risk Models of the Financial Sector Assessment Program (FSAP)," IMF Working Papers 06/134, International Monetary Fund.
  14. Glenn Hoggarth & Andrew Logan & Lea Zicchino, 2005. "Macro stress tests of UK banks," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 392-408 Bank for International Settlements.
  15. Virolainen , Kimmo, 2004. "Macro stress testing with a macroeconomic credit risk model for Finland," Research Discussion Papers 18/2004, Bank of Finland.
  16. Jeremy Berkowitz, 1999. "A coherent framework for stress-testing," Finance and Economics Discussion Series 1999-29, Board of Governors of the Federal Reserve System (U.S.).
  17. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  18. Coffinet, J. & Lin, S., 2010. "Stress testing banks' profitability: the case of French banks," Working papers 306, Banque de France.
  19. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
  20. Antonella Foglia, 2009. "Stress Testing Credit Risk: A Survey of Authorities' Aproaches," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 9-45, September.
  21. Coffinet, J. & Lin, S. & Martin, C., 2009. "Stress testing French banks' income subcomponents," Working papers 242, Banque de France.
  22. Rodolphe Blavy, 2006. "Assessing Banking Sector Soundness in a Long-Term Framework; The Case of Venezuela," IMF Working Papers 06/225, International Monetary Fund.
  23. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
  24. Theodore M. Barnhill & Marcos R. Souto & Benjamin M. Tabak, 2006. "An Analysis of Off-Site Supervision of Banks' Profitability, Risk and Capital Adequacy: a portfolio simulation approach applied to brazilian banks," Working Papers Series 117, Central Bank of Brazil, Research Department.
  25. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bcb:wpaper:226. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Francisco Marcos Rodrigues Figueiredo)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.