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THE USE OF BINARY CHOICE MODELS FOR PREDICTING BANK FAILURES
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THE USE OF BINARY CHOICE MODELS FOR PREDICTING BANK FAILURES
Annotation
PII
S042473880000616-6-1
Publication type
Article
Status
Published
Authors
Evgeny Gilenko  Elena Fedorova
Edition
Volume 49 Issue 1
Pages
106-118
Abstract

The authors develop a model for predicting Russian bank failures using the binary choice models approach. The final indicator of bank failure comprises 5 factors. Marginal effects for every factor in the model were calculated in order to describe the response of the probability for a bank to go bankrupt to a unit change in the value of the factor. Estimation of predictive power of the model gives satisfactory results.

Keywords
probit model, logit model, failure of banks, predicting crisis situation, marginal effects
Date of publication
01.01.2013
Number of purchasers
1
Views
788
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Additional sources and materials

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