Failure prediction in the Russian bank sector with logit and trait recognition models
Abstract
The Russian banking sector experienced considerable turmoil in the late 1990s, especially around the Russian banking crisis in 1998. The question is what types of banks are vulnerable to shocks and whether or not bank-specific characteristics can be used to predict vulnerability to failures. In this study we employ a parametric logit model and a nonparametric trait recognition approach to predict failures among Russian commercial banks. We test the predictive power of both models based on their prediction accuracy using holdout samples. Both models performed better than the benchmark; the trait recognition approach outperformed logit in both the original and the holdout samples. As expected liquidity plays an important role in bank failure prediction, but also asset quality and capital adequacy turn out to be important determinants of failure.Download Info
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Paper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 05/329.Length: 36 pages
Date of creation: Aug 2005
Date of revision:
Handle: RePEc:rug:rugwps:05/329
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Related research
Keywords: Russian banks; bank failure prediction; logit model; trait recognition; forecasting accuracy;Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-09-29 (All new papers)
- NEP-CWA-2005-09-29 (Central & Western Asia)
- NEP-DCM-2005-09-29 (Discrete Choice Models)
- NEP-FIN-2005-09-29 (Finance)
- NEP-FOR-2005-09-29 (Forecasting)
- NEP-TRA-2005-09-29 (Transition Economics)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- J. Lepoutre & N. A. Dentchev & A. Heene, 2005.
"Dealing With Uncertainties When Governing CSR Policies,"
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05/337, Ghent University, Faculty of Economics and Business Administration.
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- N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
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"Measuring Inflation Persistence: A Structural Time Series Approach,"
Computing in Economics and Finance 2005
459, Society for Computational Economics.
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Vlerick Leuven Gent Management School Working Paper Series
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