scholarly journals The Consideration Of Fraud In A Financial Statement Audit: Some Study Questions

2007 ◽  
Vol 3 (1) ◽  
pp. 37-44
Author(s):  
Eddie Metrejean ◽  
Lou X. Orchard ◽  
Dwight Sneathen Jr

In October 2002, the Auditing Standards Board (ASB) issued Statement on Auditing Standards (SAS) No. 99, Consideration of Fraud in a Financial Statement Audit in response to recommendations from the Fraud Task Force. SAS No. 99 is intended to improve auditor performance during audits and to increase the likelihood that the auditors will detect fraudulent financial reporting if any is present. Since fraud awareness is such a major part of any audit, accounting students should be well versed on the content of SAS No. 99. However, not all accounting students read SASs in detail. Then how do accounting educators get this important content to these students?

Author(s):  
Yee-Chy Tseng ◽  
Ruey-Dang Chang

<p class="MsoBodyTextIndent" style="text-justify: inter-ideograph; text-align: justify; line-height: 11.3pt; margin: 0in 37.2pt 0pt 0.5in; mso-line-height-rule: exactly;"><span style="font-size: 10pt; font-weight: normal; mso-bidi-font-weight: bold; mso-font-kerning: 0pt;"><span style="font-family: Times New Roman;">The Statement on Auditing Standards (SAS) No.82, <span style="mso-bidi-font-style: italic;">Consideration of Fraud in a Financial Statement Audit</span>, requires the auditor to assess the risk of material misstatement due to a fraud and to consider the assessment in designing appropriate audit procedures to be performed. The SAS No. 82 has thus explicitly made the detection of material fraud the auditor&rsquo;s responsibility. The purpose of the study is to use the risk factors identified in SAS No. 82 as the foundation to develop a decision aid to help auditors assess the likelihood of fraudulent financial reporting and to empirically test the effects of the decision aid on assessing the likelihood of fraudulent financial reporting. Using a sample of 45 fraud engagements and 206 nonfraud engagements, we developed and tested a logistic regression model that estimates the likelihood of fraudulent financial reporting. We found that the logistic model (proxied as a decision aid in the study) outperforms the practicing auditors in assessing risk for fraud and nonfraud cases.</span></span></p>


2011 ◽  
Vol 3 (3) ◽  
Author(s):  
Bonnie W. Morris ◽  
Ann B. Pushkin ◽  
William E. Spangler

This manuscript provides an approach to teaching fraud risk assessment that is based on an analysis of the task and relevant research in education, cognitive psychology, and artificial intelligence. Fraud risk assessment (FRA) in financial reporting is an important and difficult task that must be performed in every financial statement audit. When auditors fail to detect fraudulent financial reporting (FFR), they are likely to become targets of shareholder and creditor litigation. Although FFR has a low occurrence rate considering the large number of financial statement audits conducted, it has a devastating impact on the investors, creditors and the profession.


Author(s):  
Nguyen Tien Hung ◽  
Huynh Van Sau

The study was conducted to identify fraudulent financial statements at listed companies (DNNY) on the Ho Chi Minh City Stock Exchange (HOSE) through the Triangular Fraud Platform This is a test of VSA 240. At the same time, the conformity assessment of this model in the Vietnamese market. The results show that the model is based on two factors: the ratio of sales to total assets and return on assets; an Opportunity Factor (Education Level); and two factors Attitude (change of independent auditors and opinion of independent auditors). This model is capable of accurately forecasting more than 78% of surveyed sample businesses and nearly 72% forecasts for non-research firms.  Keywords Triangle fraud, financial fraud report, VSA 240 References Nguyễn Tiến Hùng & Võ Hồng Đức (2017), “Nhận diện gian lận báo cáo tài chính: Bằng chứng thực nghiệm tại các doanh nghiệp niêm yết ở Việt Nam”, Tạp chí Công Nghệ Ngân Hàng, số 132 (5), tr. 58-72.[2]. Hà Thị Thúy Vân (2016), “Thủ thuật gian lận trong lập báo cáo tài chính của các công ty niêm yết”, Tạp chí tài chính, kỳ 1, tháng 4/2016 (630). [3]. Cressey, D. R. (1953). Other people's money; a study of the social psychology of embezzlement. New York, NY, US: Free Press.[4]. Bộ Tài Chính Việt Nam, (2012). Chuẩn mực kiểm toán Việt Nam số 240 – Trách nhiệm của kiểm toán viên đối với gian lận trong kiểm toán báo cáo tài chính. [5]. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of financial economics, 3(4), 305-360.[6]. Võ Hồng Đức & Phan Bùi Gia Thủy (2014), Quản trị công ty: Lý thuyết và cơ chế kiểm soát, Ấn bản lần 1, Tp.HCM, Nxb Thanh Niên.[7]. Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman independence on corporate fraud. Managerial Finance 26 (11): 55-67.[9]. Skousen, C. J., Smith, K. R., & Wright, C. J. (2009). Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99. Available at SSRN 1295494.[10]. Lou, Y. I., & Wang, M. L. (2011). Fraud risk factor of the fraud triangle assessing the likelihood of fraudulent financial reporting. Journal of Business and Economics Research (JBER), 7(2).[11]. Perols, J. L., & Lougee, B. A. (2011). The relation between earnings management and financial statement fraud. Advances in Accounting, 27(1), 39-53.[12]. Trần Thị Giang Tân, Nguyễn Trí Tri, Đinh Ngọc Tú, Hoàng Trọng Hiệp và Nguyễn Đinh Hoàng Uyên (2014), “Đánh giá rủi ro gian lận báo cáo tài chính của các công ty niêm yết tại Việt Nam”, Tạp chí Phát triển kinh tế, số 26 (1) tr.74-94.[13]. Kirkos, E., Spathis, C., & Manolopoulos, Y. (2007). Data mining techniques for the detection of fraudulent financial statements. Expert Systems with Applications, 32(4), 995-1003.[14]. Amara, I., Amar, A. B., & Jarboui, A. (2013). Detection of Fraud in Financial Statements: French Companies as a Case Study. International Journal of Academic Research in Accounting, Finance and Management Sciences, 3(3), 40-51.[15]. Beasley, M. S. (1996). An empirical analysis of the relation between the board of director composition and financial statement fraud. Accounting Review, 443-465.[16]. Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24-36.[17]. Persons, O. S. (1995). Using financial statement data to identify factors associated with fraudulent financial reporting. Journal of Applied Business Research (JABR), 11(3), 38-46.[18]. Summers, S. L., & Sweeney, J. T. (1998). Fraudulently misstated financial statements and insider trading: An empirical analysis. Accounting Review, 131-146.[19]. Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1996). Causes and consequences of earnings manipulation: An analysis of firms subject to enforcement actions by the SEC. Contemporary accounting research, 13(1), 1-36.[20]. Loebbecke, J. K., Eining, M. M., & Willingham, J. J. (1989). Auditors experience with material irregularities – Frequency, nature, and detectability. Auditing – A journal of practice and Theory, 9(1), 1-28. [21]. Abbott, L. J., Park, Y., & Parker, S. (2000). The effects of audit committee activity and independence on corporate fraud. Managerial Finance, 26(11), 55-68.[22]. Farber, D. B. (2005). Restoring trust after fraud: Does corporate governance matter?. The Accounting Review, 80(2), 539-561.[23]. Stice, J. D. (1991). Using financial and market information to identify pre-engagement factors associated with lawsuits against auditors. Accounting Review, 516-533.[24]. Beasley, M. S., Carcello, J. V., & Hermanson, D. R. (1999). COSO's new fraud study: What it means for CPAs. Journal of Accountancy, 187(5), 12.[25]. Neter, J., Wasserman, W., & Kutner, M. H. (1990). Applied statistical models.Richard D. Irwin, Inc., Burr Ridge, IL.[26]. Gujarati, D. N. (2009). Basic econometrics. Tata McGraw-Hill Education.[27]. McFadden, D. (1974). Conditional Logit Analysis of Qualita-tive Choice Behavior," in Frontiers in Econometrics, P. Zarenm-bka, ed. New York: Academic Press, 105-42.(1989). A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Econometrica, 54(3), 1027-1058.[28]. DA Cohen, ADey, TZ Lys. (2008), “Accrual-Based Earnings Management in the Pre-and Post-Sarbanes-Oxley Periods”. The accounting review.


2020 ◽  
Vol 20 (1) ◽  
pp. 121
Author(s):  
Desi Elviani ◽  
Syahril Ali ◽  
Rahmat Kurniawan

This study aims to examine how the influence of fraudulent financial reporting on firm value is viewed from the perspective of a pentagon fraud with a sample of 71 companies from the infrastructure, utilities and transportation sectors in the Indonesia Stock Exchange in 2014-2018. The sample selection used was purposive sampling method. Company value is measured by price book value, financial statement fraud is measured by fraud-score models. There are two variables that have a positive and significant influence, namely the opportunity and arrogance variables, the two variables present two of the five elements of pentagon fraud, where as the three variables, pressure, rasionalization, competence, do not affect the fraudulent financial reporting. The results of this study have proven that fraudulent financial reporting has a negative effect on firm value.


account ◽  
2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousilita Suhendah

DETERMINAN KECURANGAN LAPORAN KEUANGAN  Rousilita Suhendah  [email protected]   Program Studi Akuntansi Universitas Tarumanagara Jakarta   ABSTRACT The purpose of this research is to examine the effect of financial stability, financial leverageand liquidity to Fraudulent financial statement. This research uses sample of manufacturing companiesdata that listed on the Indonesian Stock Exchange for the period 2014 – 2017. This research measuresfraudulent financial statement  quality by using M-Beneish Score.  Data in this research are analyzedusing logistic binary regression analysis. Analysis tool used by this research is IBM SPSS Statistics 23program. The results of this research show that the financial leverage and liquidity do not have  effectto fraudulent financial statement, but  financial stability has positive significantly  effect to fraudulentfinancial statement    Keywords: fraudulent financial reporting, financial stability, financial leverage, liquidity  ABSTRAKTujuan penelitian ini adalah untuk menguji pengaruh stabilitas keuangan, leverage keuangandan likuiditas terhadap kecurangan laporan keuangan. Penelitian ini menggunakan sampel dataperusahaan manufaktur yang terdaftar di Bursa Efek Indonesia untuk periode 2014-2017. Penelitianini mengukur kecurangan laporan keuangan dengan menggunakan M-Beneish Score. Data penelitianini dianalisis menggunakan analisis regresi logistik. Alat analisis yang digunakan oleh penelitian iniadalah program IBM SPSS Statistics 23. Hasil penelitian ini menunjukkan bahwa leverage keuangandan likuiditas tidak berpengaruh terhadap kecurangan laporan keuangan, tetapi stabilitas keuanganberpengaruh positif signifikan terhadap kecurangan laporan keuangan.     Kata kunci: kecurangan laporan keuangan, stabilitas keuangan, leverage keuangan, likuiditas


2020 ◽  
Vol 24 (1) ◽  
pp. 21
Author(s):  
Yulia Frischanita, Yustrida Bernawati

This study aims to examine the effect of CFO demographics on financial statement fraud. The results contribute to companies for increasing CEO and CFO elections and corporate governance designed to prevent illegal actions. The sample in this study was manufacturing companies listed on the Indonesia Stock Exchange in 2016-2018 with 308 data and hypothesis testing using multiple regression analysis techniques. The test results show that the age of the CFO affects the fraudulent financial statements. More mature the CFO engage with fraudulent financial statements. Other results indicate that the level of education, gender and experience of the CFO have no effect on financial statement fraud. The control variable used is ROA which has a positive effect on financial statement fraud. While company size and leverage have a negative effect on financial statement fraud.


2019 ◽  
Vol 34 (3) ◽  
pp. 77-103
Author(s):  
Diane J. Janvrin ◽  
Maureen Francis Mascha ◽  
Melvin A. Lamboy-Ruiz

ABSTRACT Auditing Standard No. 5 requires that auditors integrate their evaluation of large issuers' internal control over financial reporting (ICFR) into their financial statement audit process, but the PCAOB warns that auditors may not adequately test related manual and systems internal controls. We use a multiple method approach to examine how auditors evaluate one important component of ICFR, the financial close process, and whether they evaluate it differently when conducting a SOX 404(b) integrated versus a financial statement audit. Interviewees relied heavily on walkthroughs, and tended to perform only cursory reviews of entity-level controls related to the financial close process. In addition, they often failed to test the link between the general ledger and supporting systems, including evaluating related access controls. Financial statement-only auditors were more likely to re-perform key controls than rely on cursory walkthroughs. Auditors performing integrated audits appeared to over-rely on ICFR findings when conducting financial statement audits. Data Availability: Interview data are available from the first author. PCAOB inspection reports are publicly available.


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