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Author
Pustylnick Igor (Far Eastern Federal University Vladivostok, Russia; Conestoga College Kitchener, Canada), Temchenko Oksana (Far Eastern Federal University Vladivostok, Russia), Gubarkov Sergey (Far Eastern Federal University Vladivostok, Russia)
Title
Estimating the Influence of Accounting Variables Change on Earnings Management Detection
Source
Journal of International Studies, 2017, vol. 10, nr 1, s. 110-122, rys., tab., bibliogr. 35 poz.
Keyword
Zarządzanie zyskami, Analiza Du Ponta, Oszustwa w sprawozdaniach finansowych
Earnings management, DuPont analysis, Fraud in the financial statements
Note
JEL Classification: G31, M33
summ.
Abstract
Standard earnings management detection is performed using two routes: real earnings management (connected with inventory and expenses manipulations) and accrual earnings management (connected with revenue and accounts receivables manipulations). Neither of these two detection algorithms attempts to quantify earnings management and connect it with the infractions committed by the companies, charged by the regulator (in this case - U.S. SEC). In many known cases of revenue manipulation, it is not possible to say whether real or accrual based earnings management was used. In this research, we look at the cases of financial statement fraud, namely one of the most common variations - revenue manipulation, from the perspective of the practitioner and propose the way of detection and quantification of such manipulations. In order to distinguish the cases of earnings management, we use the components of DuPont formula. In addition, we also look at the accounting variables used in the calculation of the detection criterion and determine which ones of them play the main role in revenue manipulations. (original abstract)
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Bibliography
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ISSN
2071-8330
Language
eng
URI / DOI
http://dx.doi.org/10.14254/2071-8330.2017/10-1/7
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