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Russian Banks Financial Stability Loss Diagnostic: Multidimensional Logit-Model Approach

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  • Elena G. Shershneva, Min Zhou Hao

Abstract

The financial stability of the banking sector characterizes the "economic health" at the national and global levels and its deterioration is a cause of financial crises. Improving the toolkit for early diagnosis of financial problems is a key element of monitoring and forecasting banking risks. The purpose of the study is to examine the specific features of intrabank factors influencing the risk of financial stability loss in Russian banks. The research hypotheses are as follows: 1) the highly significant predictors of bank's financial instability risk are return on assets and overdue loans; 2) the impact degree of financial stability factors differs for medium- and long-term horizons of risk forecasting. The authors present multidimensional logit models for estimating the probability of the loss of financial stability by banks for 6 and 12 months based on four variables: capital adequacy ratio, overdue loans fraction over 90 days, return on assets, current liquidity ratio. It was revealed that a growth of return on assets has a positive significant effect on financial stability, and an increase in overdue loans has a negative significant effect on a bank's "financial immunity". It is shown the impact degree of financial stability factors is varied for different forecast horizons: the return on assets is a more relevant factor for 6 months, and the overdue loans fraction is more important for a 12 month period. The theoretical significance consists in better scientific understanding of factors impacting on a bank's financial stability. The practical significance lies in the possibility for commercial banks to use econometric models and conclusions in analytical and risk-predictive algorithms.

Suggested Citation

  • Elena G. Shershneva, Min Zhou Hao, 2024. "Russian Banks Financial Stability Loss Diagnostic: Multidimensional Logit-Model Approach," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(2), pages 476-498.
    • Handle: RePEc:aiy:jnjaer:v:23:y:2024:i:2:p:476-498
    DOI: https://doi.org/10.15826/vestnik.2024.23.2.019
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    as
    1. Martin Čihák & Heiko Hesse, 2010. "Islamic Banks and Financial Stability: An Empirical Analysis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 95-113, December.
    2. Ozili, Peterson K, 2017. "Bank Loan Loss Provisions Research: A Review," MPRA Paper 76495, University Library of Munich, Germany.
    3. Michael Adusei, 2015. "The impact of bank size and funding risk on bank stability," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1111489-111, December.
    4. Papanikolaou, Nikolaos I., 2018. "A dual early warning model of bank distress," Economics Letters, Elsevier, vol. 162(C), pages 127-130.
    5. Daniel C. Hardy & Ceyla Pazarbasioglu, 1999. "Determinants and Leading Indicators of Banking Crises: Further Evidence," IMF Staff Papers, Palgrave Macmillan, vol. 46(3), pages 1-1.
    6. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    7. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    8. Uhde, André & Heimeshoff, Ulrich, 2009. "Consolidation in banking and financial stability in Europe: Empirical evidence," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1299-1311, July.
    9. Muhammad Ali & Chin-Hong Puah, 2018. "Does Bank Size and Funding Risk Effect Banks’ Stability? A Lesson from Pakistan," Global Business Review, International Management Institute, vol. 19(5), pages 1166-1186, October.
    10. Scott, James, 1981. "The probability of bankruptcy: A comparison of empirical predictions and theoretical models," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 317-344, September.
    11. Yomna Daoud & Aida Kammoun, 2020. "Financial Stability and Bank Capital: The Case of Islamic Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 361-369.
    12. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    13. Sanchez González, Jim & Restrepo-Tobón, Diego & Ramírez Hassan, Andrés, 2021. "Inefficiency and bank failure: A joint Bayesian estimation method of stochastic frontier and hazards models," Economic Modelling, Elsevier, vol. 95(C), pages 344-360.
    14. repec:ers:journl:v:vi:y:2018:i:2:p:39-55 is not listed on IDEAS
    15. Wagner, Wolf, 2007. "The liquidity of bank assets and banking stability," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 121-139, January.
    16. E. G. Shershneva & H. B. Bakr Hasan & J. Al Hadabi, 2020. "Econometric Modeling of the Bank’s Short-Term Liquidity Dynamics Based on Multi-Factor Regression," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(1), pages 79-96.
    17. Fadoua Joudar & Zouheir Msatfa & Olaya Metwalli & Maha Mouabid & Brahim Dinar, 2023. "Islamic Financial Stability Factors: An Econometric Evidence," Economies, MDPI, vol. 11(3), pages 1-13, March.
    18. Aysa Siddika & Razali Haron, 2019. "Capital regulation and ownership structure on bank risk," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 28(1), pages 39-56, October.
    19. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    20. Nosheen & Abdul Rashid, 2019. "Business orientation, efficiency, and credit quality across business cycle: Islamic versus conventional banking. Are there any lessons for Europe and Baltic States?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 105-135.
    21. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    22. Peterson K. Ozili & Erick Outa, 2017. "Bank loan loss provisions research: A review," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(3), pages 144-163, September.
    23. R. Rupeika-Apoga & S.H. Zaidi & Y.E. Thalassinos & E.I. Thalassinos, 2018. "Bank Stability: The Case of Nordic and Non-Nordic Banks in Latvia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 39-55.
    24. Hałaj, Grzegorz & Martinez-Jaramillo, Serafin & Battiston, Stefano, 2024. "Financial stability through the lens of complex systems," Journal of Financial Stability, Elsevier, vol. 71(C).
    25. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    26. Ozili, Peterson K, 2023. "Financial stability and sustainable development," MPRA Paper 118793, University Library of Munich, Germany.
    27. Tam, KY, 1991. "Neural network models and the prediction of bank bankruptcy," Omega, Elsevier, vol. 19(5), pages 429-445.
    28. Adnan Kasman & Oscar Carvallo, 2014. "Financial stability, competition and efficiency in Latin American and Caribbean banking," Journal of Applied Economics, Universidad del CEMA, vol. 17, pages 301-324, November.
    29. Sinkey, Joseph F, Jr, 1975. "A Multivariate Statistical Analysis of the Characteristics of Problem Banks," Journal of Finance, American Finance Association, vol. 30(1), pages 21-36, March.
    30. Chen, Yehning, 2022. "Bank interconnectedness and financial stability: The role of bank capital," Journal of Financial Stability, Elsevier, vol. 61(C).
    31. Marc Audi & Mohamad Kassem & Josse Roussel, 2021. "Determinants of banks fragility in the MENA region using a dynamic model," Post-Print hal-04276656, HAL.
    32. Adnan Kasman & Oscar Carvallo, 2014. "Financial Stability, Competition and Efficiency in Latin American and Caribbean Banking," Journal of Applied Economics, Taylor & Francis Journals, vol. 17(2), pages 301-324, November.
    33. Cristian Barra & Roberto Zotti, 2022. "Financial stability and local economic development: the experience of Italian labour market areas," Empirical Economics, Springer, vol. 62(4), pages 1951-1979, April.
    34. Ozili, Peterson K, 2017. "Bank Loan Loss Provisions, Investor Protection and the Macroeconomy," MPRA Paper 80147, University Library of Munich, Germany.
    35. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    36. Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
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    More about this item

    Keywords

    commercial bank; financial stability; financial stability factors; logistic regression; probability of financial stability loss.;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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