Predicting failure in the commercial banking industry
The ability to predict bank failure has become much more important since the mortgage foreclosure crisis began in 2007. The model proposed in this study uses proxies for the regulatory standards embodied in the so-called CAMELS rating system, as well as several local or national economic variables to produce a model that is robust enough to forecast bank failure for the entire commercial bank industry in the United States. This model is able to predict failure (survival) accurately for commercial banks during both the Savings and Loan crisis and the mortgage foreclosure crisis. Other important results include the insignificance of several factors proposed in the literature, including total assets, real price of energy, currency ratio and the interest rate spread.
|Date of creation:||05 Aug 2011|
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- Kao, Chiang & Liu, Shiang-Tai, 2004. "Predicting bank performance with financial forecasts: A case of Taiwan commercial banks," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2353-2368, October.
- Rebel A. Cole & Jeffery W. Gunther, 1993.
"Separating the likelihood and timing of bank failure,"
Finance and Economics Discussion Series
93-20, Board of Governors of the Federal Reserve System (U.S.).
- Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
- Rebel A. Cole & Jeffery W. Gunther, 1993. "Separating the likelihood and timing of bank failure," Financial Industry Studies Working Paper 93-2, Federal Reserve Bank of Dallas.
- Degryse, H.A. & Laeven, L. & Ongena, S., 2007.
"The Impact of Organizational Structure and Lending Technology on Banking Competition,"
2007-019, Tilburg University, Tilburg Law and Economic Center.
- Hans Degryse & Luc Laeven & Steven Ongena, 2009. "The Impact of Organizational Structure and Lending Technology on Banking Competition," Review of Finance, European Finance Association, vol. 13(2), pages 225-259.
- Degryse, Hans & Laeven, Luc & Ongena, Steven, 2007. "The Impact of Organizational Structure and Lending Technology on Banking Competition," CEPR Discussion Papers 6412, C.E.P.R. Discussion Papers.
- Degryse, H.A. & Laeven, L. & Ongena, S., 2006. "The Impact of Organizational Structure and Lending Technology on Banking Competition," Discussion Paper 2006-67, Tilburg University, Center for Economic Research.
- Demyanyk, Yuliya & Hasan, Iftekhar, 2010.
"Financial crises and bank failures: A review of prediction methods,"
Elsevier, vol. 38(5), pages 315-324, October.
- Demyanyk , Yuliya & Hasan, Iftekhar, 2009. "Financial crises and bank failures: a review of prediction methods," Research Discussion Papers 35/2009, Bank of Finland.
- Yuliya Demyanyk & Iftekhar Hasan, 2009. "Financial crises and bank failures: a review of prediction methods," Working Paper 0904, Federal Reserve Bank of Cleveland.
- Pierluigi Bologna, 2011. "Is there a Role for Funding in Explaining Recent U.S. Banks' Failures?," IMF Working Papers 11/180, International Monetary Fund.
- Pierluigi Bologna, 2011. "Is there a role for funding in explaining recent US bank failures?," Questioni di Economia e Finanza (Occasional Papers) 103, Bank of Italy, Economic Research and International Relations Area.
- Berger, Allen N. & Black, Lamont K., 2011. "Bank size, lending technologies, and small business finance," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 724-735, March.
- Dimmock, Stephen G. & Gerken, William C., 2012.
"Predicting fraud by investment managers,"
Journal of Financial Economics,
Elsevier, vol. 105(1), pages 153-173.
- Cole, Rebel A., 1998. "The importance of relationships to the availability of credit," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 959-977, August.
- Gerald A. Hanweck, 1977. "Predicting bank failure," Research Papers in Banking and Financial Economics 19, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Olmeda, Ignacio & Fernandez, Eugenio, 1997. "Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction," Computational Economics, Society for Computational Economics, vol. 10(4), pages 317-35, November.
- Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
- 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, issue Q I, pages 21-31.
- Haslem, John A. & Scheraga, Carl A. & Bedingfield, James P., 1999. "DEA efficiency profiles of U.S. banks operating internationally," International Review of Economics & Finance, Elsevier, vol. 8(2), pages 165-182, June.
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