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Article

A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies

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Faculty of Economics and Business Administration, Cluj-Napoca University Babes-Bolyai, 400591 Cluj-Napoca, Romania
2
Faculty of Economics and Business Management, Cluj-Napoca University Babes-Bolyai, 400591 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Academic Editor: Montserrat Guillén
Received: 26 April 2021 / Revised: 5 June 2021 / Accepted: 8 June 2021 / Published: 10 June 2021
(This article belongs to the Special Issue Economic and Financial Crimes)
Tax avoidance is one of the most frequent reasons for which companies tend to resort to creative accounting techniques. The purpose of the study is to identify which of the eight-variables from the Beneish influences the most or least the outcome of the final score, as a percent, by developing a statistical model. The sample was selected from the Bucharest Stock Exchange and consists of 66 companies traded on the main market, for the years 2015–2019. The results show that from the total of the eight variables, GMI (Gross Margin Index), AQI (Asset Quality Index), DEPI (Depreciation Index) and TATA (Total Accruals to Total Assets) are significantly influencing the probability to commit fraud. The developed model is validated with only 10% of the non-fraud companies being mistakenly considered as fraud based on our model and vice versa. View Full-Text
Keywords: Beneish model; fraud; statistical model; Mann-Whitney test Beneish model; fraud; statistical model; Mann-Whitney test
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MDPI and ACS Style

Sabău, A.-I.; Mare, C.; Safta, I.L. A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies. Risks 2021, 9, 116. https://0-doi-org.brum.beds.ac.uk/10.3390/risks9060116

AMA Style

Sabău A-I, Mare C, Safta IL. A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies. Risks. 2021; 9(6):116. https://0-doi-org.brum.beds.ac.uk/10.3390/risks9060116

Chicago/Turabian Style

Sabău, Andrada-Ioana, Codruța Mare, and Ioana L. Safta 2021. "A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies" Risks 9, no. 6: 116. https://0-doi-org.brum.beds.ac.uk/10.3390/risks9060116

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