- PII
- S042473880000616-6-1
- DOI
- 10.7868/S0000616-6-1
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ 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
- Year of publication
- 2013
- Number of purchasers
- 1
- Views
- 889