Coordinated failure? a cross-country bank failure prediction model
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References listed on IDEAS
- 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.
- 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.
- 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.
- Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
- Beaver, Wh, 1968. "Market Prices, Financial Ratios, And Prediction Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 179-192.
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Cited by:
- Luminita Gabriela ISTRATE & Bogdan Stefan IONESCU & Maria-Monica HARALAMBIE, 2016. "Aspects of the impact of interest rate development on the probability of default," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 14(142), pages 1149-1149, October.
- M. Mete Doğanay & Nildağ Başak Ceylan & Ramazan Aktaş, 2006. "Predicting Financial Failure Of The Turkish Banks," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-19.
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More about this item
Keywords
Bankruptcy; logistic regression; early warning; logit; bank failure; bank crisis;All these keywords.
JEL classification:
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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