Factors Affecting Fraudulent Statement in Forensic Accounting Perspective
Bambang Leo Handoko1, Edwin Hendra2, Benedikta Anandita3
1Bambang Leo Handoko*, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
2Edwin Hendra, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
3Benedikta Anandita, Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 28-32 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3889119119/2019©BEIESP | DOI: 10.35940/ijitee.A3889.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays the awareness of loss from fraud has been shifted from blue collared employee theft to white collared management fraudulent statement. Forensic accounting becomes one of the solutions to detect this fraudulent statement. On the basic of our premise, the purpose of research to explore empirical evidence regarding financial statement fraud detection factors with net worth method as control variable. Our independent variables were debt to equity ratio, change in net assets, and return on asset. The research was quantitatively on food and beverage manufacturing companies listed on the Indonesia Stock Exchange. We use financial statement year end audited from 2013-2017. We used purposive sample, when selecting the samples. Total of 55 company reports samples were used in this research. We analyzed the data using statistical multiple linear regression analysis. We used statistical software to do the regression, in order to answer the research questions and test the hypothesis. Fraudulent reporting fraud was examined using proxies Beneish M-score. After the statistical test, this research concludes that financial distress factor proxy Debt to Equity Ratio (DER) has no significant effect on fraud detection. Other factor that is financial stability was proxies by changes in total assets (ACHANGE), and financial targets in the proxy of Return on Assets (ROA) both have significant impact on the detection of financial statement fraud.
Keywords: Beneish M Score, Fraudulent, Statement, Forensic, Factor, Detection
Scope of the Article: Authentication, Authorization, Accounting