COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS

Main Article Content

Larysa Hrytsenko
https://orcid.org/0000-0003-3903-6716
Liudmyla Pavlenko
Iryna Kozhushko
Onur Erişen

Abstract

Credit risk is an integral element of banking activities, the identification and effective management of which is essential in today’s environment. The financial stability of both individual banks and the banking sector as a whole depends on the feasibility and effectiveness of risk management. The purpose of the study is to systematise the approaches approved at the state level to assessing the credit risk of banks, analyse the current state of the loan portfolio of the Ukrainian banking sector, and identify the most promising methods of optimising potential risks to its quality.
The study examines the essential features of the bank credit risk as well as the most common methods for its assessment. On the basis of a deep analysis of the Resolution of the National Bank of Ukraine No. 351, a detailed algorithm for calculating the amount of bank credit risk is proposed, and its main principles, which are important for the activities of domestic banks, are described. A statistical study of the quality of the loan portfolio of the banking sector of Ukraine for the time horizon of 2018 – 2024 is carried out and a gradual adaptation of the sector’s entities to the unstable conditions of the operating environment is revealed. The results of the analysis also pointed to a deterioration in the level of credit risk coverage of non-performing customer debt in the period 2022 – 2024, which may have negative consequences for the banking sector’s resilience. Based on the results of the study, the possible methods of optimising credit risk have been proposed, which application will have a significant positive effect on the financial stability of the sector and, as a result, the development of the national economy.
A promising area for further research is the study of the possibilities of introducing digital tools for monitoring, controlling and preventing the growth of credit risk in banks.

Article Details

How to Cite

Hrytsenko, L., Pavlenko, L., Kozhushko, I., & Erişen, O. (2025). COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS. Socio-Economic Relations in the Digital Society, 2(56), 20-33. https://doi.org/10.55643/ser.2.56.2025.605

References

Basel Committee on Banking Supervision. (2011). Basel III: A global regulatory framework for more resilient banks and banking systems. Bank for International Settlements. https://www.bis.org/publ/bcbs189.pdf

Bogrinovtseva, L. M., Zaichko, I. V., & Fedina, V. V. (2024). Managing the bank’s credit risk in the financial market: A theoretical aspect. Digital economy and economic security, 2(11), 283-289. https://doi.org/10.32782/dees.11-46

Chuenjitwongsa, D. S. (2017). Conduct a Delphi Study. Cardiff University. https://www.cardiff.ac.uk/__data/assets/pdf_file/0010/1164961/how_to_conduct_a_delphistudy.pdf

Dotsenko, I. (2024). Credit risk management of banking institutions under martial law. Modeling the Development of the Economic Systems, (1), 156-162. https://doi.org/10.31891/mdes/2024-11-22

Economic statistics. National accounts. (2025). State Statistics Service of Ukraine. https://www.ukrstat.gov.ua/

Fedina, V. V. (2023). Bank credit risk: Essence and causes of occurrence. Entrepreneurship and Trade, 39, 223-228. https://doi.org/10.32782/2522-1256-2023-39-27

Fedina, V. V., & Zaichko, I. V. (2024). European experience in managing credit risks of banks. In Business development in the context of European integration: global challenges, strategic priorities, realities and prospects (pp. 143-145).

Hrytsenko, L., Zakharkina, L., Zakharkin, O., Novikov, V., & Chukhno, R. (2022) The Impact of Digital Transformations on the Transparency of Financial-economic Relations and Financial Security of Ukraine. Financial and Credit Activity Problems of Theory and Practice, 3(44), 165–175. https://doi.org/10.55643/fcaptp.3.44.2022.3767

Hrytsenko, L., Pakhnenko, O., Kuzior, A., & Kozhushko, I. (2024). Smart technologies in banking. Financial Markets, Institutions and Risks, 8(1), 81-93. https://doi.org/10.61093/fmir.8(1).81-93.2024

Huynh, J., & Dang, V. D. (2021). Loan portfolio diversification and bank returns: do business models and market power matter? Cogent Economics & Finance, 9(1), 1891709. https://doi.org/10.1080/23322039.2021.1891709

IBM. What Is Monte Carlo Simulation? (n.d.). IBM. https://www.ibm.com/think/topics/monte-carlo-simulation

IFRS Foundation. (n.d.). IFRS 9 Financial Instruments. IFRS. https://www.ifrs.org/content/dam/ifrs/publications/pdf-standards/english/2021/issued/part-a/ifrs-9-financial-instruments.pdf

Khoma, I. B. (2024). Ways to improve the bank’s credit risk management in modern conditions. In Russia-Ukraine war: consequences for the world (pp. 142-144).

Kubetska, O. M., & Udovikova, B. V. (2022). Management, assessment and methods of preventing credit risks of a commercial bank. In Modernisation of the domestic legal system in the context of global integration (pp. 365-367).

Larinova, K. L., & Donchenko, T. V. (2020). Analysis and problems of assessing the credit risk of Ukrainian banks. Bulletin of Khmelnytskyi National University, Ekonomichni nauky , 1, 233-240. http://irbis-nbuv.gov.ua/cgi-bin/irbis_nbuv/cgiirbis_64.exe?C21COM=2&I21DBN=UJRN&P21DBN=UJRN&IMAGE_FILE_DOWNLOAD=1&Image_file_name=PDF/Vchnu_ekon_2020_1_43.pdf

Marchenko, O. V., Petrykiva, O. S., & Korobko, K. O. (2022). Minimising credit risk and improving the quality of the bank’s loan portfolio. Business Inform, 11(538), 205-210. https://doi.org/10.32983/2222-4459-2022-11-205-210

Mousa Alktrani, S. H., & Hayder Talib, K. (2021). Impact of Concentration and Diversity of Loan Portfolio on The Bank Equity Return: A Cross Country Analysis. Turkish Journal of Computer and Mathematics Education, 12(7), 1950-1962. https://www.researchgate.net/profile/Sundus-Mousa/publication/351263618_Impact_of_Concentration_and_Diversity_of_Loan_Portfolio_on_The_Bank_Equity_Return_A_Cross_Country_Analysis/links/608de390299bf1ad8d6fa8eb/Impact-of-Concentration-and-Diversity-of-Loan-Portfolio-on-The-Bank-Equity-Return-A-Cross-Country-Analysis.pdf

National Bank of Ukraine (2025). Supervisory statistics. https://bank.gov.ua/ua/statistic/supervision-statist

National Bank of Ukraine (2024). The banking sector received UAH 86.5 billion in profit in 2023, according to operational data. https://bank.gov.ua/ua/news/all/bankivskiy-sektor-otrimav-865-mlrd-grn-pributku-za-2023-rik-zgidno-z-operativnimi-danimi

On Approval of the Regulation on Determining the Amount of Credit Risk for Active Banking Operations by Banks of Ukraine. (2016). Resolution of the National Bank of Ukraine No. 351. https://zakon.rada.gov.ua/laws/show/v0351500-16#Text

Pavliuk, О., & Melnyk, T. (2022). Analysis of the most common calculation methods “Value at Risk, VaR”. Financial and credit activity problems of theory and practice, 3(44), 43–49. https://doi.org/10.55643/fcaptp.3.44.2022.3746

Pokhylko, S. V., & Novikov, V. M. (2019). Analysis of existing approaches to managing and minimising bank credit risk. Bulletin of Sumy State University, Series ‘Economics’, 1, 53-63. https://essuir.sumdu.edu.ua/bitstream-download/123456789/76876/1/Pokhylko_kredytnyi_ryzyk.pdf

Rashid, F., Khan, R. A., & Qureshi, I. H. (2023). A Comprehensive Review of the Altman Z-Score Model Across Industries. The Business Review, 27(2), 35–42. https://dx.doi.org/10.2139/ssrn.5044057

Sadchykova, I., & Onoprienko, A. (2022). Assessment of the credit risk of a commercial bank under the conditions of the corona crisis. Problems and prospects of economics and management, 2(30), 115-124. https://doi.org/10.25140/2411-5215-2022-2(30)-115-124

Shafar, M.V. (2023). Causes of occurrence and methods of minimising the bank’s credit risk. In Financial and credit mechanism of economic and social development (pp. 143-145).

Shilo, Zh. S. (2021). Credit risk of a commercial bank: causes of occurrence and methods of management. In Modern science and practice (pp. 21-23).

Shumeiko, Yu., Hrytsenko, L., & Dаher, H. (2022). Analysis of financial stability to the banking system and assessment level influence of innovative technologies. Mechanism of an economic regulation, 3-4 (97-98), 51–56. https://doi.org/10.32782/mer.2022.97-98.12