Author
Listed:
- Stanislav Vasylishyn
(National Scientific Centre "Institute of Agrarian Economics", Ukraine)
- Inna Gryshova
(Institute of Economics of the Latvian Academy of Sciences, Latvia)
- Nataliia Zhuk
(National Scientific Centre "Institute of Agrarian Economics", Ukraine)
- Yuliia Nezhyd
(National Scientific Centre "Institute of Agrarian Economics", Ukraine)
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.
Suggested Citation
Stanislav Vasylishyn & Inna Gryshova & Nataliia Zhuk & Yuliia Nezhyd, 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,"
Oblik i finansi, Institute of Accounting and Finance, issue 2, pages 33-43, May.
Handle:
RePEc:iaf:journl:y:2026:i:2:p:33-43
DOI: 10.33146/2518-1181-2026-2(112)-33-43
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
;
;
;
JEL classification:
- M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iaf:journl:y:2026:i:2:p:33-43. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Serhii Ostapchuk (email available below). General contact details of provider: https://edirc.repec.org/data/iafkvua.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.