e-ISSN 2518-1181
DOI 10.33146/2518-1181
Online Media ID R40-06293
← Back Published: 30.05.2026

Methodology for the Assessment and Improvement of Accounting for Loss Allowances for Expected Credit Losses on Impaired Financial Assets under IFRS 9: the Case of Receivables of Ukrainian Agricultural Enterprises

Authors

Stanislav Vasylishyn National Scientific Centre "Institute of Agrarian Economics", Kyiv, Ukraine Institute of Accounting and Finance, Ukraine ORCID 0000-0001-5023-9878
Inna Gryshova Institute of Economics of the Latvian Academy of Sciences, Latvia ORCID 0000-0001-6276-7619
Nataliia Zhuk National Scientific Centre "Institute of Agrarian Economics", Kyiv, Ukraine ORCID 0000-0001-9882-4718
Yuliia Nezhyd National Scientific Centre "Institute of Agrarian Economics", Kyiv, Ukraine Institute of Accounting and Finance, Ukraine ORCID 0000-0003-2807-0687

DOI:

https://doi.org/10.33146/2518-1181-2026-2(112)-33-43

Abstract

In conditions of martial law, macroeconomic instability, high credit risks, and deterioration in counterparties’ solvency, the problem of reliably assessing receivables and forming reserves for expected credit losses becomes particularly urgent. However, traditional approaches to assessing reserves for doubtful debts do not fully meet the requirements of risk management and the predictive assessment of credit risks required by IFRS 9. This article aims to reveal the practical aspects of applying the expected credit loss measurement methodology under IFRS 9 “Financial Instruments” and to improve the primary, synthetic, and analytical accounting for loss allowances for impairment of financial assets, using the example of receivables of Ukrainian agricultural enterprises. The research methodology includes abstract-logical, monographic, comparative, and computational-constructive (including the ECL method provided for in IFRS 9 “Financial Instruments”) methods, as well as a systematic approach, analysis, and synthesis. The article presents a simplified methodological approach to assessing expected credit losses based on payment history, receivables due dates, and analysis of counterparties’ payment reliability. The authors proposed a system of color-coded debtors’ credit risk zones based on ECL levels and signs of default. Also, they improved the organization of analytical accounting for financial assets by separating sub-accounts for expected credit losses directly on receivables accounts. An important part of the research results is samples of primary documents and analytical accounting registers developed by the authors for calculating and summarizing information on reserves for expected credit losses. The results of this study can be used to increase the reliability of financial reporting, improve risk management systems, strengthen the economic security of agricultural enterprises in Ukraine, and adapt national accounting practices to international financial reporting standards.

Keywords

IFRS, accounting, loss allowances for impairment of financial assets, receivables, expected credit losses (ECL), financial instruments, agricultural enterprises, synthetic and analytical accounting, primary accounting
References
  1. Allini, A., Jaggi B., Zampella, A., & Prisco, M. (2024). Expected Credit Losses under IFRS 9: Concept, Models, and Disclosures. Handbook of Investment Analysis, Portfolio Management, and Financial Derivatives, 1461-1511. https://doi.org/10.1142/9789811269943_0044
  2. Breed, D. G., Hurter, J., Marimo, M., Raletjene, M., Raubenheimer, H., Tomar, V., & Verster, T. (2023). A Forward-Looking IFRS 9 Methodology, Focussing on the Incorporation of Macroeconomic and Macroprudential Information into Expected Credit Loss Calculation. Risks, 11(3), 59. https://doi.org/10.3390/risks11030059
  3. Demska, Yu. V. (2020). Theoretical and organizational aspects of internal control of capital reserves of enterprises. Problems of Theory and Methodology of Accounting, Control and Analysis, 2(46), 18–23. https://doi.org/10.26642/pbo-2020-2(46)-18-23
  4. Dubinina, M., Gomelko, N., & Dubinin, V. (2017). Concept of Formation of Reserves as an Object of Accounting. Modern Economics, 6, 60–68. https://modecon.mnau.edu.ua/issue/6-2017/UKR/dubinina.pdf
  5. IFRS Foundation (2026). IFRS 9 “Financial Instruments”. Retrieved from: https://www.ifrs.org/content/dam/ifrs/publications/pdf-standards/english/2022/issued/part-a/ifrs-9-financial-instruments.pdf?bypass=on
  6. López-Espinosa, G., Ormazabal, G., & Sakasai, Y. (2021). Switching from Incurred to Expected Loan Loss Provisioning: Early Evidence. Journal of Accounting Research, 59, 757–804. https://doi.org/10.1111/1475-679X.12354
  7. Melnyk, T., & Moroz, Y. (2020). Accounting treatment for calculation and accrual of the allowance for expected credit losses on cash and deposits. Young Scientist, 2(78), 36–40. https://doi.org/10.32839/2304-5809/2020-2-78-8
  8. Miu, P., & Ozdemir, B. (2023) A coherent economic framework to model correlations between PD, LGD and EaD, and its applications in EaD modelling and IFRS-9. Journal of Risk Management in Financial Institutions, 16(1), 52–78. https://doi.org/10.13140/RG.2.2.23356.31364
  9. Musiiets, T., Olshevska, I., & Mozhna, V. (2024). Expected credit losses in international banking business. Scientific Notes, 35(2), 94–113. http://doi.org/10.33111/vz_kneu.35.24.02.09.061.067
  10. Pastiranová, O., & Witzany, J. (2022). IFRS 9 and its behavior in the cycle: The evidence on EU countries. Journal of International Financial Management & Accounting, 33, 5–17. https://doi.org/10.1111/jifm.12140
  11. Sadovska, I., Zamula, I., & Melnyk, K. (2026). Policy for Forming Protections And Reserves in the Accounting and Analytical System of an Agricultural Enterprise. Economy and Society, 83. https://doi.org/10.32782/2524-0072/2026-83-117
  12. Schutte, W. D., Verster, T., Doody, D., Raubenheimer, H., & Coetzee, P. J. (2020). A proposed benchmark model using a modularised approach to calculate IFRS 9 expected credit loss. Cogent Economics & Finance, 8(1). https://doi.org/10.1080/23322039.2020.1735681
  13. Snigurska, S. (2017). Valuation of Assets for Creation of Loss Allowance in Accordance with IFRS 9 “Financial Instruments”. Efektyvna ekonomika, 7, Retrieved from: http://www.economy.nayka.com.ua/?op=1&z=5693
  14. The Ministry of Finance of Ukraine (2020). National Accounting Standard 10 “Receivable”. Retrieved from: https://zakon.rada.gov.ua/laws/show/z0725-99#Text
  15. The Ministry of Finance of Ukraine (2025). Instruction on the application of the Chart of Accounts for accounting of assets, capital, liabilities and business operations of enterprises and organizations. Retrieved from: https://zakon.rada.gov.ua/laws/show/z0893-99#Text
  16. Zamula, I., & Travin, V. (2026). Methodological Convergence of Reserve Accounting and Sustainable Development Reporting in Ukraine’s Post-War Recovery Strategy. Efektyvna ekonomika, 2. Retrieved from: https://doi.org/10.32702/2307-2105.2026.2.25
  17. Zhuk, V., Vasylishyn, S., Kantsurov, O., Prokopyshyn, O., & Stupnytskyi, Ye. (2022). Improvement of Accounting of Certain Assets and Provisions in the Conditions of the Global Covid-19 Pandemic Impact: Example of Ukraine. WSEAS Transactions on Business and Economics, 19, 1380–1393 https://doi.org/10.37394/23207.2022.19.124