The article is devoted to the issue of accounting for derivatives in Russian and international practice. It is substantiated that the accounting methodology for derivatives has an important impact on the financial and property condition and performance of companies. The purpose of the article is a comparative analysis of accounting for derivatives in international financial reporting standards and Russian accounting standards. Methods of generalization, systematization and analysis of practical aspects of accounting for derivatives are used. According to the results of the study, it is shown that the main difference be-tween IFRS and RAS is in the principles for assessing assets and liabilities and correlating expenses and income with the reporting period. In view of this approach, profit under IFRS and RAS may differ. The essence of derivatives in the normative regulation of their accounting is investigating. The main differences in accounting for derivatives in accordance with IFRS and RAS are analyzed. Assumptions are presented regarding the expediency of using and spreading the practice of accounting for derivatives in accordance with IFRS in Russian practice. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Original languageEnglish
Title of host publication15th International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry, INTERAGROMASH 2022. Global Precision Ag Innovation 2022, Conference proceedings
Subtitle of host publicationBook Series
EditorsA. Beskopylny, M. Shamtsyan, V. Artiukh
PublisherSpringer Cham
ChapterChapter 319
Pages2846-2854
Number of pages9
Volume2
ISBN (Electronic)978-3-031-21219-2
ISBN (Print)978-3-031-21218-5
DOIs
Publication statusPublished - 2023

Publication series

NameXV International Scientific Conference “INTERAGROMASH 2022”. Lecture Notes in Networks and Systems
Volume575
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

    ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Signal Processing

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