Detection of earnings management by different models

Research background: Earnings management means the usage of gaps in the legislative frameworks of individual countries and their accounting systems in the global world. Businesses thus adjust profits and revenues to the form that is desirable and desired for them. However, there is a very thin line...

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Bibliographic Details
Main Authors: Bilan Yuriy, Jurickova Veronika
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:SHS Web of Conferences
Subjects:
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2021/03/shsconf_glob20_02005.pdf
Description
Summary:Research background: Earnings management means the usage of gaps in the legislative frameworks of individual countries and their accounting systems in the global world. Businesses thus adjust profits and revenues to the form that is desirable and desired for them. However, there is a very thin line between fraud and earnings management. By adjusting their financial statements, companies seek to impress potential investors and influence their own market position. Purpose of the article: The main goal of the article is to describe the possibilities and methods of detection of earnings management in companies in aspects of globalization. The article contains a brief overview of theoretical knowledge and definitions about earnings management. The contribution of the article lies in the application of the selected method to a specific company and based on the outputs of the model to determine whether the company is using earnings management. Methods: The scientific method of analysis was used in the article, on the basis of which the obtained information was necessary for further calculations. A calculation based on the Beneish model was used to determine the use of earnings management. Findings & Value added: The output of the article is the application of the Beneish model in the detection of earnings management in a selected company. In the calculation process, pre-established theoretical knowledge on the issue and the numerical characteristics of the selected company were used. Finally, the application of earnings management in the company can be ruled out.
ISSN:2261-2424