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Modeling default probabilities: The case of Brazil

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  • Tabak, Benjamin M.
  • Luduvice, André Victor D.
  • Cajueiro, Daniel O.

Abstract

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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  • Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
  • Handle: RePEc:eee:intfin:v:21:y:2011:i:4:p:513-534
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    as
    1. Bystrom, Hans N. E., 2004. "The market's view on the probability of banking sector failure: cross-country comparisons," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 419-438, December.
    2. 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.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. 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.
    5. 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.
    6. 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.
    7. Ackermann, Josef, 2008. "The subprime crisis and its consequences," Journal of Financial Stability, Elsevier, vol. 4(4), pages 329-337, December.
    8. 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.
    9. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    10. 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.
    11. Michael Boss & Martin Summer & Stefan Thurner, 2004. "Contagion Flow Through Banking Networks," Papers cond-mat/0403167, arXiv.org.
    12. 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.
    13. 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.).
    14. 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.
    15. 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.
    16. Coelho, Ricardo & Gilmore, Claire G. & Lucey, Brian & Richmond, Peter & Hutzler, Stefan, 2007. "The evolution of interdependence in world equity markets—Evidence from minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 455-466.
    17. 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.
    18. 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.
    19. 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.
    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 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 920-926, August.
    22. 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.
    23. 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.
    24. Bauerle, Nicole, 2002. "Risk management in credit risk portfolios with correlated assets," Insurance: Mathematics and Economics, Elsevier, vol. 30(2), pages 187-198, April.
    25. 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.
    26. 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.
    27. Hoggarth, Glenn & Reis, Ricardo & Saporta, Victoria, 2002. "Costs of banking system instability: Some empirical evidence," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 825-855, May.
    28. 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.
    29. 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.
    30. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
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    Cited by:

    1. 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.
    2. 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.
    3. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised May 2018.
    4. Azusa Takeyama & Nick Constantinou & Dmitri Vinogradov, 2012. "A Framework for Extracting the Probability of Default from Stock Option Prices," IMES Discussion Paper Series 12-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    5. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.

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