Klaas T.A.Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation tomasklaas@yandex.ru ORCID id: not available
Importance This article deals with the issues of development of approaches to forecasting and early diagnosis of bankruptcy risk of financial institutions, in particular, banks. Objectives The article aims to build an econometric model that determines the risk of bank default. Methods The research uses the methods of analysis, synthesis, induction and deduction, abstraction and analogy. Also, the economic and statistical methods of grouping, correlation, and regression were applied. Results The article determines an integral indicator of the bank default and identifies the current risk drivers of bankruptcy. With the help of regression analysis, these factors are built as an econometric model of bank default risk assessment. Conclusions The article reveals that an ideal method of forecasting the bankruptcy has not yet been created. It is determined that the probability of default of a bank depends on the current conditions of economic development of the country.
Keywords: bank, sustainability, bankruptcy, correlation, regression
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