IMPACT OF THE TRANSITION TO INTERNATIONAL FINANCIAL REPORTING STANDARDS ON COVERAGE CALCULATION

Alexandra Szekeres and Angelika Dienes
Additional contact information
Alexandra Szekeres: Faculty of Economy, University of Debrecen, Debrecen, Hungary
Angelika Dienes: Faculty of Economy, University of Debrecen, Debrecen, Hungary

Network Intelligence Studies, 2022, issue 19, 71-78

Abstract: The present study focuses on the method of coverage calculation and the reasons for the different results due to the differences between the Hungarian and IFRS accounting systems. First, the accounting characteristics inherent in the content and structure of the profit and loss account are presented on which the coverage calculation is based in the Hungarian and IFRS systems. Next, the accounting items that are necessary for the calculation of coverage are described in detail and are compared according to the two accounting systems. Finally, the differences in the calculation of coverage in the Hungarian and IFRS accounting systems based on the same items are presented through an example. Based on the study, it can be clearly stated that a significantly higher coverage amount can be detected on the basis of the same items in the system of IFRS than in the Hungarian accounting environment.

Keywords: IFRS; Hungarian Accounting Act; Coverage calculation (search for similar items in EconPapers)
JEL-codes: M40 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/NIS_19_7.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:networ:y:2022:i:19:p:71-78

Access Statistics for this article

Network Intelligence Studies is currently edited by Romanian Foundation for Business Intelligence

More articles in Network Intelligence Studies from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().