On predicting the probability of default of credit organizations in the Russian Federation

On predicting the probability of default of credit organizations in the Russian Federation

Objective: to form a model for predicting the default of credit organizations under the modern conditions of the banking sector functioning.Methods: unidimensional analysis of variance, regression analysis of binary choice models.Results: in the modern economy, the banking system stability largely a...

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Bibliographic Details
Main Author: D. F. Zakirova
Format: Article
Language:English
Published: Tatar Educational Center “Taglimat” Ltd. 2024-03-01
Series:Russian Journal of Economics and Law
Subjects:
regional and branch economics
banking system
logistic regression model
bankruptcy
indicators of financial stability of a credit organization
the system of forecasting the probability of bank’s default
Online Access:https://www.rusjel.ru/jour/article/view/2514

Internet

https://www.rusjel.ru/jour/article/view/2514

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