Finance and Credit

Identification of risk factors of bankruptcy of credit institutions and their modelling

Vol. 24, Iss. 1, JANUARY 2018

Received: 19 October 2017

Received in revised form: 4 December 2017

Accepted: 22 December 2017

Available online: 29 January 2018

Subject Heading: Banking

JEL Classification: G20, G21

Pages: 19–32

Klaas Ya.A. Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation

Klaas T.A. Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation

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


  1. Bluhm C., Overbeck L., Wagner C. Introduction to Credit Risk Modeling. 2nd ed. Boca Raton, CRC Press, 2010, 384 р.
  2. Sahajwala R., Van den Bergh P. Supervisory Risk Assessment and Early Warning Systems. BCBS Working Paper, 2000, no. 4, 59 p.
  3. Puganovskaya T.I., Galyamin A.V. [Analysis of foreign researches in the field of bankruptcy modeling]. Problemy regional'noi ekonomiki, 2008, no. 3, pp. 46–61. (In Russ.)
  4. Puganovskaya T.I., Galyamin A.V. [A methodology of bankruptcy determination of an organization on the basis of balance diagram]. Problemy regional'noi ekonomiki, 2008, no. 4, pp. 21–28. (In Russ.)
  5. Tot'myanina K.M. [Review of models of default probability]. Upravlenie finansovymi riskami, 2011, no. 1, pp. 12–24. (In Russ.)
  6. Peresetskii A.A. [Evaluation methods of probability of bank default]. Ekonomika i matematicheskie metody = Economics and Mathematical Methods, 2007, vol. 43, no. 3, pp. 37–62. (In Russ.)
  7. Karminskii A.M., Kostrov A.V., Murzenkov T.N. Modelirovanie veroyatnosti defolta rossiiskikh bankov s ispol'zovaniem ekonometricheskikh metodov [Default probability modeling of Russian banks with the use of econometric methods]. Moscow, HSE Publ., 2012, 304 p.
  8. Peresetsky A.A., Karminsky A.M., Golovan S.V. Probability of Default Models of Russian Banks. Economic Change and Restructuring, 2011, vol. 44, iss. 4, pp. 297–334.
  9. Karminskii A.M., Kostrov A.V. [Modeling the Default Probabilities of Russian Banks: Extended Abillities]. Zhurnal novoi ekonomicheskoi assotsiatsii = Journal of the New Economic Association, 2013, no. 1, pp. 64–86. URL: (In Russ.)
  10. Vasilyuk A., Karminskii A., Sosyurko V. Sistema modelei reitingov bankov v interesakh IRB-podkhoda: sravnitel'nyi i dinamicheskii analiz [The system of bank rating models for the IRB approach: a comparative and dynamic analysis]. Moscow, HSE Publ., 2011, 68 p. URL:
  11. Klaas Ya.A. [Determination of regional banks financial stability by evaluation procedures]. Finansy i biznes, 2014, no. 3, pp. 49–60. URL: (In Russ.)
  12. Altman E.I. Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 1968, vol. 23, no. 4, pp. 589–609. URL:
  13. Beaver W.H. Financial Ratios as Predictors of Failure. Journal of Accounting Research, 1966, no. 4, pp. 71–111.
  14. Chernykh L., Theodossiou A. Determinants of Bank Long-Term Lending Behavior: Evidence from Russia. Multinational Finance Journal, 2011, vol. 15, iss. 3-4, pp. 193–216. URL:
  15. Lanine G., Vennet R. Failure Prediction in the Russian Bank Sector with Logit and Trait Recognition Models. Expert Systems with Applications, 2006, vol. 30, iss. 3, pp. 463–478. URL:
  16. Estrella A., Park S., Peristiani S. Capital Ratios as Predictors of Bank Failure. FRBNY Economic Policy Review, 2000, vol. 6, no 2, pp. 33–52. URL:
  17. Egorova O.Yu. [Special Methods of Revealing the Circumstances of a Bank Bankruptcy]. Den'gi i kredit = Money and Credit, 2012, no. 7, pp. 57–60. (In Russ.)
  18. Egorova O.Yu. [Classification of approaches, models and diagnostic methods of bank bankruptcy]. Global'nye rynki i finansovyi inzhiniring = Global Markets and Financial Engineering, 2015, vol. 2, iss. 3, pp. 229–244. URL: (In Russ.)

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