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CAMELS parameters’ impact on the risk of losing financial stability: The case of Russian banks

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  • Elena G. Shershneva

    (Ural Federal University named after the first President of Russia B. N. Yeltsin, Ekaterinburg, Russia)

Abstract

The banking sector stability determines the financial immunity of a national economy. Current economic and political tensions precondition the need for predicative diagnosis of factors behind a decrease in a bank’s financial stability taking into account national specificities. The paper aims to explore the impact of intrabank parameters on a risk of deteriorated financial stability of Russian banks. The methodological basis of the study is the theory of financial management as applied to the banking practice. The research methods include content analysis, multiple regression, and logit modelling. The evidence comes from the published financial statements of Russian banks for 2018–2023. The paper suggests an approach for rating banks according to their financial stability and develops logit models for evaluating the risk of losing financial stability based on the CAMELS parameters. The analysis demonstrates a noticeable positive impact of the return on assets and a noticeable negative effect of the overdue loans share on a bank’s financial stability. At the same time, capital adequacy and current liquidity produce an ambiguous effect on the financial strength: they are significant only up to a certain point, after passing which they no longer exert any impact on the financial stability (the so-called “surplus paradox”). The study finds that the impact of the parameters differs for the mediumand long-term forecasting horizons: for a 6-month period, the return on assets is a more significant predictor of the financial instability risk, while the overdue loans share is more important for a 12-month period. The findings extend the understanding of the influence that bank’s internal factors have on their financial stability and can be useful in building the algorithms for analysing and forecasting banking risks.

Suggested Citation

  • Elena G. Shershneva, 2024. "CAMELS parameters’ impact on the risk of losing financial stability: The case of Russian banks," Journal of New Economy, Ural State University of Economics, vol. 25(2), pages 130-152, July.
    • Handle: RePEc:url:izvest:v:25:y:2024:i:2:p:130-152
    DOI: 10.29141/2658-5081-2024-25-2-7
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    References listed on IDEAS

    as
    1. Frederic S. Mishkin, 1999. "Global Financial Instability: Framework, Events, Issues," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 3-20, Fall.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    9. 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.
    10. Marc Audi & Mohamad Kassem & Josse Roussel, 2021. "Determinants of banks fragility in the MENA region using a dynamic model," Post-Print hal-04276656, HAL.
    11. 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.
    12. 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.
    13. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    14. 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.
    15. 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.
    16. Ben Bouheni, Faten & Hasnaoui, Amir, 2017. "Cyclical behavior of the financial stability of eurozone commercial banks," Economic Modelling, Elsevier, vol. 67(C), pages 392-408.
    17. Lartey, Theophilus & James, Gregory A. & Danso, Albert & Boateng, Agyenim, 2022. "Bank business models, failure risk and earnings opacity: A short- versus long-term perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).
    18. Mete Feridun & Hasan Güngör, 2020. "Climate-Related Prudential Risks in the Banking Sector: A Review of the Emerging Regulatory and Supervisory Practices," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    19. Hałaj, Grzegorz & Martinez-Jaramillo, Serafin & Battiston, Stefano, 2024. "Financial stability through the lens of complex systems," Journal of Financial Stability, Elsevier, vol. 71(C).
    20. 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.
    21. Ozili, Peterson K, 2017. "Bank Loan Loss Provisions Research: A Review," MPRA Paper 76495, University Library of Munich, Germany.
    22. Papanikolaou, Nikolaos I., 2018. "A dual early warning model of bank distress," Economics Letters, Elsevier, vol. 162(C), pages 127-130.
    23. 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.
    24. 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.
    25. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    26. repec:ers:journl:v:vi:y:2018:i:2:p:39-55 is not listed on IDEAS
    27. 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.
    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. Samitas, Aristeidis & Kampouris, Elias & Kenourgios, Dimitris, 2020. "Machine learning as an early warning system to predict financial crisis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    30. Chen, Yehning, 2022. "Bank interconnectedness and financial stability: The role of bank capital," Journal of Financial Stability, Elsevier, vol. 61(C).
    31. Ozili, Peterson K, 2017. "Bank Loan Loss Provisions, Investor Protection and the Macroeconomy," MPRA Paper 80147, University Library of Munich, Germany.
    32. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    33. 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.
    34. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    35. 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.
    36. Ozili, Peterson K, 2023. "Financial stability and sustainable development," MPRA Paper 118793, University Library of Munich, Germany.
    37. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    38. 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

    bank’s stability; commercial bank; financial sustainability; financial stability; risk; CAMELS parameters;
    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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