Identification and Classification of Problem Banks
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- 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.
- 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.
- Joy, O. Maurice & Tollefson, John O., 1975. "On the Financial Applications of Discriminant Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 10(5), pages 723-739, December.
- Graham, David R & Humphrey, David Burras, 1978. "Bank Examination Data as Predictors of Bank Net Loan Losses," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 10(4), pages 491-504, November.
- Korobow, Leon & Stuhr, David, 1985. "Performance measurement of early warning models : Comments on west and other weakness/failure prediction models," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 267-273, June.
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Keywords
financial system; banking system;Statistics
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