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Using extreme value theory to estimate the likelihood of banking sector failure

  • Hans Bystrom

The growing interest in management of credit risk and estimation of default probabilities has given rise to a range of more or less elaborate credit risk models. While these models work well for non-financial firms they are usually not very successful in capturing the financial strength of banks. As an answer to this, Hall and Miles suggest a simple approach of estimating bank failure probabilities based solely on their stock prices. This paper suggests an extension to the Hall and Miles model using extreme value theory and applies the extended model to the Swedish banking sector around the banking crisis of the early 1990s. The extended model captures very well the increased likelihood of a systemic banking sector failure around the peak of the crisis and it produces default probabilities that are more stable, more realistic and more consistent with Moody's and Fitch rating implied default rates than probabilities from the original Hall and Miles model.

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Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

Volume (Year): 12 (2006)
Issue (Month): 4 ()
Pages: 303-312

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Handle: RePEc:taf:eurjfi:v:12:y:2006:i:4:p:303-312
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  1. Allen N. Berger & Sally M. Davies & Mark J. Flannery, 1998. "Comparing market and supervisory assessments of bank performance: who knows what when?," Finance and Economics Discussion Series 1998-32, Board of Governors of the Federal Reserve System (U.S.).
  2. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
  3. Merton, Robert C., 1973. "On the pricing of corporate debt: the risk structure of interest rates," Working papers 684-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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