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Modeling Default Probabilities: the case of Brazil

  • Benjamin M. Tabak
  • Daniel O. Cajueiro
  • A. Luduvice

Using disaggregated data from the Brazilian stock market, we calculate default probabilities for 30 different economic sectors. Empirical results suggest that domestic macroeconomic factors can explain these default probabilities. In addition, we construct the Minimum Spanning Tree (MST) and the ultrametric hierarchical tree with the MST based on default probabilities to disclose common trends, which reveals that some sectors form clusters. The results of this paper imply that macroeconomic variables have distinct effects on default probabilities, which is important to take into account in credit risk modeling and the generation of stress test scenarios.

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Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 232.

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Date of creation: Jan 2011
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Handle: RePEc:bcb:wpaper:232
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  1. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2008. "Network models and financial stability," Bank of England working papers 346, Bank of England.
  2. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, July.
  3. Rosario N. Mantegna, 1998. "Hierarchical Structure in Financial Markets," Papers cond-mat/9802256,
  4. Di Matteo, T. & Aste, T. & Hyde, S.T. & Ramsden, S., 2005. "Interest rates hierarchical structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 21-33.
  5. 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.
  6. Dietsch, Michel & Petey, Joel, 2004. "Should SME exposures be treated as retail or corporate exposures? A comparative analysis of default probabilities and asset correlations in French and German SMEs," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 773-788, April.
  7. Clare, Andrew D. & Priestley, Richard, 1998. "Risk factors in the Malaysian stock market," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 103-114, May.
  8. Ackermann, Josef, 2008. "The subprime crisis and its consequences," Journal of Financial Stability, Elsevier, vol. 4(4), pages 329-337, December.
  9. Glenn Hoggarth & Ricardo Reis & Victoria Saporta, 2001. "Costs of banking system instability: some empirical evidence," Bank of England working papers 144, Bank of England.
  10. Angkinand, Apanard P., 2009. "Banking regulation and the output cost of banking crises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 240-257, April.
  11. Clare, Andrew D, 1995. "Using the Arbitrage Pricing Theory to Calculate the Probability of Financial Institution Failure: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 920-26, August.
  12. Berardi, Andrea & Ciraolo, Stefania & Trova, Michele, 2004. "Predicting default probabilities and implementing trading strategies for emerging markets bond portfolios," Emerging Markets Review, Elsevier, vol. 5(4), pages 447-469, December.
  13. Bystrom, Hans & Worasinchai, Lugkana & Chongsithipol, Srisuda, 2005. "Default risk, systematic risk and Thai firms before, during and after the Asian crisis," Research in International Business and Finance, Elsevier, vol. 19(1), pages 95-110, March.
  14. Di Matteo, T. & Aste, T. & Mantegna, R.N., 2004. "An interest rates cluster analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 181-188.
  15. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  16. Ricardo Coehlo & Claire Gilmore & Brian M. Lucey, 2006. "The Evolution of Interdependence in World Equity Markets - Evidence from Minimum Spanning Trees," The Institute for International Integration Studies Discussion Paper Series iiisdp142, IIIS.
  17. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2009. "The expectation hypothesis of interest rates and network theory: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1137-1149.
  18. Barrell, Ray & Davis, E. Philip & Pomerantz, Olga, 2006. "Costs of financial instability, household-sector balance sheets and consumption," Journal of Financial Stability, Elsevier, vol. 2(2), pages 194-216, June.
  19. Jung, Woo-Sung & Chae, Seungbyung & Yang, Jae-Suk & Moon, Hie-Tae, 2006. "Characteristics of the Korean stock market correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 263-271.
  20. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang, 2009. "A network analysis of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2956-2964.
  21. Clare, Andrew & Priestley, Richard, 2002. "Calculating the probability of failure of the Norwegian banking sector," Journal of Multinational Financial Management, Elsevier, vol. 12(1), pages 21-40, February.
  22. Michael Boss & Martin Summer & Stefan Thurner, 2004. "Contagion Flow Through Banking Networks," Papers cond-mat/0403167,
  23. John Ammer & Frank Packer, 2000. "How consistent are credit ratings? a geographic and sectoral analysis of default risk," International Finance Discussion Papers 668, Board of Governors of the Federal Reserve System (U.S.).
  24. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  25. Iori, Giulia & Jafarey, Saqib & Padilla, Francisco G., 2006. "Systemic risk on the interbank market," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 525-542, December.
  26. Aharony, Joseph & Swary, Itzhak, 1996. "Additional evidence on the information-based contagion effects of bank failures," Journal of Banking & Finance, Elsevier, vol. 20(1), pages 57-69, January.
  27. Bauerle, Nicole, 2002. "Risk management in credit risk portfolios with correlated assets," Insurance: Mathematics and Economics, Elsevier, vol. 30(2), pages 187-198, April.
  28. 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.
  29. Hawkesby, Christian & Marsh, Ian W. & Stevens, Ibrahim, 2007. "Comovements in the equity prices of large complex financial institutions," Journal of Financial Stability, Elsevier, vol. 2(4), pages 391-411, March.
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