AUTHORS: Soni Agus Irwandi, Imam Ghozali, Faisal, Imang Dapit Pamungkas
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ABSTRACT: This study aims to analysis financial stability, nature of industry, audit opinion on fraudulent financial statement. Furthermore, to analysis financial stability, the nature of industry, audit opinion on real earnings management, to analysis the real earning management on fraudulent financial statement. Next, to analysis financial stability, nature of industry, audit opinion on fraudulent financial statement with real earning management as a mediating variable. The population in this study were all manufacturing companies listed on the Indonesia Stock Exchange during the period 2013-2017. The sampling technique was carried out by purposive sampling to produce 130 samples. In this study the technical analysis model uses path analysis and SPSS version 22. The results of this research are financial stability and nature of industry has a significant effect on fraudulent financial statement. Audit opinion has not effect on fraudulent financial statement. Financial stability and Nature of industry has a significant effect on real earnings management. Audit opinion has not effect on Real Earnings Management. real earning management significantly influences fraudulent financial statement. Real earnings management can mediate on the relationship of financial stability, nature of industry on fraudulent financial statement. But, audit opinion cannot mediate on the relationship on fraudulent financial statement.
KEYWORDS: Fraudulent Financial Statement, Real Earning Management
REFERENCES:
[1] AICPA. 2002. Consideration of Fraud in a
Financial Statement Audit, Statement on
Auditing Standard No. 99, AICPA, New
York.
[2] Anestyo, Janu 2017. Fraud Triange's Terrible
Analysis of fraudulent Financial Statement
Detection with Short Term Discreationay
Accrual and Long Term Discreationay
Accrual as Vaiable Intervening. Thesis of the
Accounting Study Program of Pekalongan
University.
[3] Aryani, Septa. 2011, Earning Management in
Manufacturing Companies in the Indonesia
Stock Exchange, Journal of Economic and
Accounting Information (Genius), Vol. 1 No.
May 2.
[4] Association of Certified Fraud Examiners.
(2018). Report to the Nations Global Study on
Occupational Fraud and Abuse.
[5] Beneish, M. D. (1999). The detection of
earnings manipulation. Financial Analysts
Journal, 55(5), 24-36.
[6] Beneish, M., Lee, C., & Nichols, D. C. (2012).
Fraud detection and expected returns.
[7] Cohen, D. A., Dey, A., & Lys, T. Z. (2008).
Real and accrual-based earnings management
in the pre-and post-Sarbanes-Oxley
periods. The accounting review, 83(3), 757-
787.
[8] E. Lokanan, M. (2014). How senior managers
perpetuate accounting fraud? Lessons for
fraud examiners from an instructional
case. Journal of Financial Crime, 21(4), 411-
423.
[9] Jensen, M., and Meckling, W, 1976, Theory
of the firm: Managerial behavior, agency
costs, and ownership structure, Journal of
Financial Economics, 3: 305-360.
[10] Koroy, Tri Ramaraya, 2008, Fraud Detection
of Financial Reports by External Auditors,
Journal of Accounting and Finance, Vol. 10,
No. 1, May 2008: 22-33.
[11] Kothari, S. P., Shu, S., & Wysocki, P. D.
(2009). Do managers withhold bad
news?. Journal of Accounting research, 47(1),
241-276.
[12] Lou, Y.I., & Wang, M.L. (2009). Triangle
Risk Factor of the Fraud Assesing the
Likelihood of Fraudulent Financial Reporting.
Journa of Business and Economic Research.
February 2009. Vol.7 (2), 62-66.
[13] Marai & Pavlović, V. (2014). An overview of
earnings management measurement
approaches: Development and
evaluation. Facta Universitatis, Series:
Economics and Organization, 11(1), 21-36.
[14] Rezaee, Zabihollah and Richard Riley, 2010.
Financial Statement of Fraud Prevention and
Detection 2nd Edition, Jhon Wiley & Sors.
Inc, Hoboken: New Jersey.
[15] Roychowdhury, S. (2006). Earnings
management through real activities
manipulation. Journal of accounting and
economics, 42(3), 335-370.
[16] Skousen, J.C., et al.,2009, 'Detecting and
Predicting Frauduelnt Financial Statement:
The Effectiveness of The Fraud Triangle and
SAS No. 99. 'Corporate and Firm
Performance Advances in Financial
Economics, Vol. 13, p. 53-81.
[17] Spathis, C. T. (2003). Audit qualification, firm
litigation, and financial information: an
empirical analysis in Greece. International
Journal of Auditing, 7(1), 71-85.
[18] Summers, Scott. L, and John T. Sweeney,
1998, Fraudulently Misstated Financial
Statements and Insider Trading: An Empirical
Analysis, The Accounting Review, Vol. 73,
No. 1, January 1998, pp. 131 - 146.
[19] Ratmono, D. (2010). Real and Accrual-Based
Profit Management: Can a Qualified Auditor
Detect It. Proceeding of the National
Symposium on Accounting XIII, Purwokerto.
[20] Tuanakotta, Theodorus. M, 2014 ISA Based
Audit (International Standards on Auditing,
Salemba Empat: Jakarta.
[21] Ulfah, M., Nuraina, E., & Wijaya, A. L. (2017,
October). The Influence of Fraud Pentagon in
Detecting Fraudulent Financial Reporting
(Empirical Study of Banking in Indonesia
Registered on the Indonesian Stock Exchange
In FIPA: Scientific Accounting Education
Forum. Vol. 5, No. 1).
[21] Wiyadi, R., & Noer, I. (2015). The Effect Of
Information Asymmetry, Firm Size, Leverage,
Profitability and Employee Stock Ownership
On Earnings Management With Accrual
Model. International Journal of Business,
Economics and Law, 8(2), 22.
WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 16, 2019, Art. #30, pp. 271-281
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