scholarly journals DETECTING FINANCIAL STATEMENTS FRAUD IN SELECTED PHARMACEUTICAL COMPANIES IN INDIA

2020 ◽  
pp. 1-4
Author(s):  
Chetana R. Marvadi
Keyword(s):  
Earnings Quality ◽  
Fraud Detection ◽  
Financial Statements ◽  
Business Environment ◽  
Lessons Learned ◽  
Financial Statement ◽  
Pharmaceutical Companies ◽  
Financial Statement Fraud ◽  
Creative Accounting ◽  
The Common

In the business environment, rms are expected to disclose accurate and reliable nancial information. Financial statement fraud is actions which are taken to intentionally distort a company's reported nancial performance. Major corporate nancial statement Frauds get away in the name of creative accounting. But, they need to be studied for lessons learned and strategies to avoid or reduce the incidence of such frauds in the future. It is essential for shareholders, particularly the common man who does not have any access to the company except reported nancial numbers. This research paper attempts to detect the practices of nancial statement fraud in the Pharmaceutical Sector in India for investors' interest using Earnings quality, De Angelo and Beneish models of fraud detection. The result conrms the presence of nancial statement fraud in the companies under study. It is therefore expected that the study will help to improves investor's belief of a company's performance, as reected in their nancial numbers.

scholarly journals An Ensemble Model for Financial Statement Fraud Detection

2021 ◽  
Author(s):  
Ahmed M. Khedr ◽  
Magdi El Bannany ◽  
Sakeena Kanakkayil
Keyword(s):  
Class Imbalance ◽  
Fraud Detection ◽  
Financial Statements ◽  
Global Market ◽  
Financial Statement ◽  
Machine Learning Techniques ◽  
Accounting Fraud ◽  
Financial Statement Fraud ◽  
Mena Region ◽  
Ensemble Technique

Fraudulent financial statements are deliberate furnishing and/or reporting incorrect statistics, and this has become a major economic and social concern as the global market is witnessing an upsurge in financial accounting fraud, costing businesses billions of dollars a year. Identifying companies that manipulate financial statements remains a challenge for auditors, as fraud strategies have become increasingly sophisticated over the years. We evaluate machine learning techniques for financial statement fraud detection, particularly a powerful ensemble technique, the XGBoost algorithm, that help to identify fraud on a set of sample companies drawn from the MENA region. The issue of the class imbalance in the dataset is addressed by applying the SMOTE algorithm. We found that XGBoost algorithm outperformed other algorithms in this study: Logistic Regression (LR), Decision Tree (DT), Vector Machine Support (SVM), Adaboost, and RandomForest. The XGBoost algorithm is then optimised to obtain the optimum performance.

scholarly journals Pengaruh Pentagon Fraud Terhadap Fraudulent Financial Statement Dengan KualitasLaba Sebagai Variabel Moderasi

2020 ◽  
Vol 20 (3) ◽  
pp. 269-280
Author(s):  
Abdurrachman Abdurrachman ◽  
Suhartono Suhartono
Keyword(s):  
Stock Exchange ◽  
Earnings Quality ◽  
Financial Statements ◽  
Financial Statement ◽  
Manufacturing Companies ◽  
Financial Statement Fraud ◽  
Purposive Sampling ◽  
Moderating Variables ◽  
Negative Effect ◽  
Fraudulent Financial Statements

Financial statement fraud is a serious and constructive problem for external parties of the company, especially for investors. This study aims at factors that cause false financial statements with variables as moderating variables. The factors used in this study are pentagon fraud theory which consists of variables of pressure, opportunity, rationalization, competence, and arrogance. This study uses the company in the Indonesia Stock Exchange 2016-2017 period as a research sample. Based on the results of purposive sampling obtained 204 data manufacturing companies that meet the sample. Testing the hypothesis in this study was carried out using logistic regression analysis. The results of testing the hypothesis to see the effect on fraudulent financial statements indicate that competence has a significant positive effect, pressure has a negative effect, the opportunity has no significant effect, rationalization has no significant effect, arrogance has no significant effect. In the moderating variable earnings, quality cannot weaken the influence of pressure, opportunity, rationalization, and arrogance on fraudulent financial statements, but earnings quality can weaken the influence of competence on fraudulent financial statements. Simultaneous testing shows that the overall variable has a significant effect on fraudulent financial statements. Keywords: Fraudulent Financial Statement, Pentagon Fraud   Abstrak                                                                         Kecurangan laporan keuangan merupakan masalah yang serius dan menjadi ancaman bagi pihak-pihak eksternal perusahaan, khususnya bagi investor. Beberapa penelitian mengenai faktor faktor yang berpengaruh pada fraudulent financial statement telah dilakukan. Penelitian ini bertujuan menguji kembali faktor-faktor yang mempengaruhi fraudulent financial statement dengan menambahkan kualitas laba sebagai variabel moderasi. Faktor-faktor yang diuji dalam penelitian ini adalah teori pentagon fraud yang terdiri dari variabel pressure, opportunity, rationalization, competence, dan arrogance. Penelitian ini menggunakan perusahaan manafaktur terdaftar di Bursa Efek Indonesia periode 2016-2017 sebagai sampel penelitian. Berdasarkan hasil purposive sampling diperoleh 204 data perusahaan manufaktur yang memenuhi kriteria sampel. Pengujian hipotesis dalam penelitian ini dilakukan dengan menggunakan analisis regresi logistik. Hasil pengujian hipotesis untuk melihat pengaruh terhadap fraudulent financial statement menunjukkan bahwa competence berpengaruh positif signifikan, pressure berpengaruh negatif, opportunity tidak berpengaruh signifikan, rationalization tidak berpengaruh signifikan, arrogance tidak berpengaruh signifikan. Pada variabel moderasi kualitas laba tidak dapat memperlemah pengaruh pressure, opportunity, rationalization dan arrogance terhadap fraudulent financial statement, namun kualitas laba dapat memperlemah pengaruh competence pada fraudulent financial statement. Pengujian secara simultan menunjukkan bahwa variabel secara keseluruhan berpengaruh signifikan terhadap fraudulent financial statement. Kata kunci: Fraudulent Financial Statement, Pentagon Fraud

scholarly journals FRAUND DIAMOND DALAM MENDETEKSI KECURANGAN LAPORAN KEUANGAN

2018 ◽  
Vol 3 (2) ◽  
pp. 161
Author(s):  
Poppy Indriani
Keyword(s):  
Empirical Evidence ◽  
Financial Stability ◽  
Fraud Detection ◽  
Financial Statements ◽  
External Pressure ◽  
Financial Statement ◽  
Financial Statement Fraud ◽  
Audit Opinion ◽  
Fraudulent Financial Statements

Effect of Diamond Fraud in Financial Statement Fraud detection. This study aimed to get empirical evidence regarding the effectiveness of diamond fraud in detecting fraudulent financial statements. Variables - variables of diamond fraud is financial stability is proxied by ACHANGE, external pressure proxied with leverage, financial targets are proxied by the ROA, nature of industry proxied by inventory, ineffective monitoring proxied by BDOUT, audit opinion and change of directors. Financial statement fraud detection in this study using the F-score models. The results of this study indicate that external pressure, financial targets, ineffective monitoring, audit opinion and change of directors does not have influence in detecting fraudulent financial statements. While the financial stability and nature of industry to have an influence in detecting fraudulent financial statements.

scholarly journals Literature Review: Research Reflection of Financial Statements Fraud Detection Methods in Indonesia

2021 ◽  
Vol 6 (4) ◽  
pp. 355-358
Author(s):  
Putri Intan Prastiwi ◽  
. Payamta
Keyword(s):  
Fraud Detection ◽  
Financial Statements ◽  
Financial Statement ◽  
Detection Methods ◽  
Fraud Triangle ◽  
Literacy Studies ◽  
Financial Statement Fraud ◽  
Literature Study ◽  
Financial Reports ◽  
Triangle Method

This study aims to identify methods in the detection of fraud in financial statements conducted by researchers in Indonesia. This research has been published on the website of the Ministry of Research and Technology with the SINTA 1 and SINTA 2 indexes. This research was conducted with a literature study on financial statement fraud in Indonesia. The research method used is a descriptive qualitative method by taking data from literacy studies on the research of fraud detection methods in Indonesia. The results of this study indicate that the fraud detection method used in financial reports in Indonesia is using the fraud Triangle method. The article of these studies is expected to provide input, insight, and information to all parties such as company management, auditors, and users of financial statements about various methods of detecting financial statement fraud in Indonesia.

Fraud of Financial Statements at Listed Enterprises on Ho Chi Minh City Securities Department

2018 ◽  
Vol 34 (4) ◽  
Author(s):  
Nguyen Tien Hung ◽  
Huynh Van Sau
Keyword(s):  
New York ◽  
Financial Reporting ◽  
Financial Statements ◽  
Financial Statement ◽  
Viet Nam ◽  
Fraud Triangle ◽  
Fraudulent Financial Reporting ◽  
Financial Statement Fraud ◽  
Corporate Fraud ◽  
Two Factors

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.

FRAUD TRIANGLE ANALYSES IN DETECTING FRAUDULENT FINANCIAL STATEMENT USING FRAUD SCORE MODEL

2020 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani
Keyword(s):  
Financial Stability ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
External Pressure ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Financial Condition ◽  
Score Model

Company’s financial condition reflected in the financial statements. However, there are many loopholes in the financial statements which can become a chance for the management and certain parties to commit fraud on the financial statements. This study aims to detect financial statement fraud as measured using fraud score model that occurred in issuers entered into the LQ-45 index in 2014-2016 with the use of six independent variables are financial stability, external pressure, financial target, nature of industry, ineffective monitoring and rationalization. This study using 27 emiten of LQ-45 index during 2014-2016. However, there are some data outlier that shall be removed, thus sample results obtained 66 data from 25 companies. Multiple linear regression analysis were used in this study. The results showed that the financial stability variables (SATA), nature of industry (RECEIVBLE), ineffective monitoring (IND) and rationalization (ITRENDLB) proved to be influential or have the capability to detect financial statement fraud. While the external pressure variables (DER) and financial target (ROA) are not able to detect the existence of financial statement fraud. Simultaneously all variables in this study were able to detect significantly financial statement fraud.

Additional Evidence on Audit Report Lag

2001 ◽  
Vol 20 (1) ◽  
pp. 137-146 ◽  
Author(s):  
W. Robert Knechel ◽  
Jeff L. Payne
Keyword(s):  
Earnings Quality ◽  
Financial Statements ◽  
Financial Statement ◽  
Fiscal Year ◽  
Sources Of Information ◽  
Audit Report ◽  
The Public ◽  
Time Period ◽  
Audit Team ◽  
Available Information

The process for providing accounting information to the public has not changed much in the last century even though the extent of disclosure has increased signifi-cantly. Sundem et al. (1996) suggest that the primary benefit of audited financial statements may not be decision usefulness but the discipline imposed by timely confirmation of previously available information. In general, the value of information from the audited financial statement will decline as the audit report lag (the time period between a company's fiscal year end and the date of the audit report) increases since competitively oriented users may obtain substitute sources of information. Furthermore, the literature on earnings quality and earnings management suggests that unexpected reporting delays may be associated with lower quality information. The purpose of this paper is to extend our understanding about the determinants of audit report lag using a proprietary database containing 226 audit engagements from an international public accounting firm. We examine three previously uninvestigated audit firm factors that potentially influence audit report lag and are controllable by the auditor: (1) incremental audit effort (e.g., hours), (2) the resource allocation of audit team effort measured by rank (partner, manager, or staff), and (3) the provision of nonaudit services (MAS and tax). The results indicate that incremental audit effort, the presence of contentious tax issues, and the use of less experienced audit staff are positively correlated with audit report lag. Further, audit report lag is decreased by the potential synergistic relationship between MAS and audit services.

Scoring to estimate the financial statement fraud risk during the audit

2021 ◽  
Vol 22 (11) ◽  
pp. 1262-1275
Author(s):  
Sergei V. ARZHENOVSKII ◽  
Tat'yana G. SINYAVSKAYA ◽  
Andrei V. BAKHTEEV
Keyword(s):  
Discriminant Analysis ◽  
Statistical Method ◽  
Empirical Data ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Statement Fraud ◽  
Two Stage ◽  
Preparation Methods ◽  
Behavioral Traits ◽  
Fraud Risk

Subject. This article assesses the propensity for material misstatement risk due to unfair actions of persons charged with the financial statements preparation, based on their behavioral traits. Objectives. The article aims to develop a scoring type methodology for identifying the propensity for material misstatement risk due to unfair actions of persons charged with the financial statements preparation. Methods. For the study, we used a multidimensional statistical method of discriminant analysis based on empirical data from an author-conducted survey of 515 employees charged with the financial statements preparation in companies. Results. The article presents a two-stage methodology that helps estimate whether a person has traits associated with a hyperpropensity for financial statements fraud risk. Conclusions and Relevance. The developed methodology for detecting the fraud risk is easy to use. It gives the result in binary form and does not violate the principles of audit ethics. The estimated material misstatement risk due to unfair actions makes it possible to justify the need for appropriate audit procedures when developing a strategy and audit plan.

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