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Systemic Risk: What Defaults Are Telling Us

Author

Listed:
  • Kay Giesecke

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Baeho Kim

    (Korea University Business School, Anam-dong, Sungbuk-gu, Seoul 136-701, Korea)

Abstract

This paper develops dynamic measures of the systemic risk of the financial sector as a whole. It defines systemic risk as the conditional probability of failure of a sufficiently large fraction of the total population of financial institutions. This definition recognizes that the cause of systemic distress is the correlated failure of institutions to meet obligations to creditors, customers, and trading partners. The likelihood estimators of the failure probability are based on a dynamic hazard model of correlated failure timing that captures the influence on failure timing of time-varying macroeconomic and sector-specific risk factors, and of spillover effects. Tests indicate that our measures provide accurate out-of-sample forecasts of the term structure of systemic risk in the United States for the period from 1998 to 2009. This paper was accepted by Wei Xiong, finance.

Suggested Citation

  • Kay Giesecke & Baeho Kim, 2011. "Systemic Risk: What Defaults Are Telling Us," Management Science, INFORMS, vol. 57(8), pages 1387-1405, August.
    • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:8:p:1387-1405
    DOI: 10.1287/mnsc.1110.1375
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    References listed on IDEAS

    as
    1. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    2. Cooperman, Elizabeth S & Lee, Winson B & Wolfe, Glenn A, 1992. "The 1985 Ohio Thrift Crisis, the FSLIC's Solvency, and Rate Contagion for Retail CDs," Journal of Finance, American Finance Association, vol. 47(3), pages 919-941, July.
    3. Cole, Rebel A. & Wu, Qiongbing, 2009. "Is hazard or probit more accurate in predicting financial distress? Evidence from U.S. bank failures," MPRA Paper 24688, University Library of Munich, Germany, revised 01 Aug 2010.
    4. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    5. Koopman, Siem Jan & Lucas, Andre & Monteiro, Andre, 2008. "The multi-state latent factor intensity model for credit rating transitions," Journal of Econometrics, Elsevier, vol. 142(1), pages 399-424, January.
    6. Mr. Jorge A Chan-Lau & Mr. Toni Gravelle, 2005. "The END: A New Indicator of Financial and Nonfinancial Corporate Sector Vulnerability," IMF Working Papers 2005/231, International Monetary Fund.
    7. Craig O. Brown & I. Serdar Dinç, 2005. "The Politics of Bank Failures: Evidence from Emerging Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1413-1444.
    8. Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
    9. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    10. Viral V. Acharya & Tanju Yorulmazer, 2008. "Information Contagion and Bank Herding," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(1), pages 215-231, February.
    11. Sanjiv R. Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2007. "Common Failings: How Corporate Defaults Are Correlated," Journal of Finance, American Finance Association, vol. 62(1), pages 93-117, February.
    12. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    13. Darrell Duffie & Andreas Eckner & Guillaume Horel & Leandro Saita, 2009. "Frailty Correlated Default," Journal of Finance, American Finance Association, vol. 64(5), pages 2089-2123, October.
    14. Aharony, Joseph & Swary, Itzhak, 1983. "Contagion Effects of Bank Failures: Evidence from Capital Markets," The Journal of Business, University of Chicago Press, vol. 56(3), pages 305-322, July.
    15. David C. Wheelock & Paul W. Wilson, 2000. "Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 127-138, February.
    16. Kay Giesecke & Lisa R. Goldberg & Xiaowei Ding, 2011. "A Top-Down Approach to Multiname Credit," Operations Research, INFORMS, vol. 59(2), pages 283-300, April.
    17. repec:fip:fedhpr:y:2010:i:may:p:65-71 is not listed on IDEAS
    18. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    19. Giesecke, Kay, 2004. "Correlated default with incomplete information," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1521-1545, July.
    20. Cynthia G. McDonald & Linda M. Van De Gucht, 1999. "High-Yield Bond Default And Call Risks," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 409-419, August.
    21. 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.
    22. Lehar, Alfred, 2005. "Measuring systemic risk: A risk management approach," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2577-2603, October.
    23. Arturo Estrella & Mary R. Trubin, 2006. "The yield curve as a leading indicator: some practical issues," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(Jul).
    24. Bjørn Eraker & Michael Johannes & Nicholas Polson, 2003. "The Impact of Jumps in Volatility and Returns," Journal of Finance, American Finance Association, vol. 58(3), pages 1269-1300, June.
    25. Gary Whalen, 1991. "A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q I), pages 21-31.
    26. Lando, David & Nielsen, Mads Stenbo, 2010. "Correlation in corporate defaults: Contagion or conditional independence?," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 355-372, July.
    27. Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
    28. Mr. Renzo G Avesani & Ms. Jing Li & Antonio I Garcia Pascual, 2006. "A New Risk Indicator and Stress Testing Tool: A Multifactor Nth-to-Default CDS Basket," IMF Working Papers 2006/105, International Monetary Fund.
    29. AfDB AfDB, 2010. "Working Paper Series – Author Guidelines," Working Paper Series 357, African Development Bank.
    30. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
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