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Bank failure prediction: a two-step survival time approach

In: The IFC's contribution to the 56th ISI Session, Lisbon, August 2007

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  • Michael Halling
  • Evelyn Hayden

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  • Michael Halling & Evelyn Hayden, 2008. "Bank failure prediction: a two-step survival time approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 48-73, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:28-05
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    References listed on IDEAS

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    1. Jürgen Bauer & Evelyn Hayden, 2004. "New Approaches to Banking Analysis in Austria," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 7, pages 56-63.
    2. Mr. Robert Billings & Ms. Brenda Gonzalez-Hermosillo & Ceyla Pazarbasioglu, 1996. "Banking System Fragility: Likelihood Versus Timing of Failure: An Application to the Mexican Financial Crisis," IMF Working Papers 1996/142, International Monetary Fund.
    3. Henebry, Kathleen L., 1996. "Do cash flow variables improve the predictive accuracy of a Cox proportional hazards model for bank failure?," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(3), pages 395-409.
    4. 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.
    5. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    6. repec:onb:oenbwp:y:2004:i:7:b:1 is not listed on IDEAS
    7. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    8. 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.
    9. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    10. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    11. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    12. 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.
    13. 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.
    14. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    15. Young Ho Eom, 2004. "Structural Models of Corporate Bond Pricing: An Empirical Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 499-544.
    16. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    17. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
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    Cited by:

    1. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.

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