Financial Statement Fraud Detection Using Published Data Based on Fraud Triangle Theory

2017 ◽  
Vol 23 (8) ◽  
pp. 7054-7058 ◽  
Author(s):  
Ricardo Parlindungan ◽  
Fernando Africano ◽  
P. Sri Megawati Elizabeth
2021 ◽  
Vol 31 (3) ◽  
pp. 713
Author(s):  
Yuliana Pertiwi Yuwono ◽  
Maria Assumpta Evi Marlina

This research aims to determine the effect of fraud triangle theory toward Financial statement fraud. Financial statement fraud is proxied by earnings management.  Population in this study is non-Islamic commercial banking companies listed on SGX, MYX, SET, PSE and IDX. The sampling technique used purposive sampling. The total sample in the study was 66 non-Islamic commercial banking companies. The data analysis method used is multiple linear regression. The research results proved that Financial targets and change of auditors had a positive effect on Financial statement fraud while external pressure had a negative effect on Financial statement fraud. Financial stability and ineffective monitoring had no effect on Financial statement fraud. This research can be used as a reference by investors, the public, government and users of other financial statement information in order to detect Financial statement fraud through the fraud triangle theory. Keywords: Financial statement fraud; Earnings Management; Fraud Triangle.


2018 ◽  
Vol 14 (2) ◽  
pp. 100
Author(s):  
Dwi Ratmono ◽  
Yuvita Avrie Diany ◽  
Agus Purwanto

The objective of this study is to test the ability of fraud triangle theory to explain financial statement fraud phenomena. To achieve the objective, this research examines factors which affect financial statement fraud. Based on fraud triangle theory, there are three variables hypothesized affect fraud which are pressure, opportunity and rationalization. This study uses data of 27 companies which did financial statement fraud and 27 other companies as pair matched sample. Data collected from annual report published by website Indonesian Stock Exchange (IDX). Data then analyzed using logistic regression analysis. The result of this study shows significant positive relation between pressure and opportunity with financial statement fraud. Rationalization is not supported as determinant of financial statement fraud. This study provides partial support for fraud triangle theory in explaining financial statement fraud phenomena.


Riset ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 449-465
Author(s):  
Sharon Callista Hanjaya ◽  
Sylvia Fettry

Because of app-based transportation, traditional transportation companies are being abandoned because in terms of practicality, they are less accessible to various groups of people. Therefore, traditional transportation companies compete difficultly and have financial pressure. One example of financial pressure is poor financial health. Based on the Fraud Triangle theory, it is said that if a company is under pressure, the possibility of committing fraud will increase. This study is conducted to find empirical evidence whether the level of financial health could affect the possibility of financial statement fraud. This study is expected to provide knowledge to investors and potential investors how to use the Altman's Z-Score analysis method as a measuring tool for financial health level and the Beneish M-Score as a financial statement fraud red flag measurement tool, in order to avoid fraud in the future. The research method used is the method of causality. The data collected is secondary quantitative data in the form of financial statements of companies in the land public transportation industry for the period of year 2015 until 2019. Descriptive and verificative analysis will be done on these data. After conducting the analysis, it can be concluded that the level of financial health has a significant effect on financial statement fraud indications. But there are many other factors that can explain changes in the likelihood of a company committing financial statement fraud such as opportunity, rationalization and various other types of pressure.


2018 ◽  
Vol 14 (2) ◽  
pp. 100
Author(s):  
Dwi Ratmono ◽  
Yuvita Avrie Diany ◽  
Agus Purwanto

The objective of this study is to test the ability of fraud triangle theory to explain financial statement fraud phenomena. To achieve the objective, this research examines factors which affect financial statement fraud. Based on fraud triangle theory, there are three variables hypothesized affect fraud which are pressure, opportunity and rationalization. This study uses data of 27 companies which did financial statement fraud and 27 other companies as pair matched sample. Data collected from annual report published by website Indonesian Stock Exchange (IDX). Data then analyzed using logistic regression analysis. The result of this study shows significant positive relation between pressure and opportunity with financial statement fraud. Rationalization is not supported as determinant of financial statement fraud. This study provides partial support for fraud triangle theory in explaining financial statement fraud phenomena.


2021 ◽  
Vol 6 (4) ◽  
pp. 355-358
Author(s):  
Putri Intan Prastiwi ◽  
. Payamta

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.


2016 ◽  
Vol 4 (2) ◽  
pp. 98
Author(s):  
Faiz Rahman Siddiq ◽  
Sofyan Hadinata

The financial statements will become more qualified in the<br />presentation if the presentation is based on qualitative<br />elements, among others: easy to understand, reliable,<br />comparable (comparable), and relevant. The financial<br />statements are presented to stakeholders, namely:<br />management, employees, investors (shareholders), creditors,<br />suppliers, customers, and government. Fraudulent financial<br />reporting was a deliberate attempt by the company to deceive<br />and mislead the users of financial statements, especially<br />investors and creditors, to present and manipulate the material<br />value of the financial statements. Manipulation gain profit<br />(earnings manipulation) for the company's desire that the stock<br />remains attractive to investors. Fraud triangle theory expressed<br />by Cressey later developed by Wolfe and Hermanson (2009)<br />with theory. Fraud diamond diamond fraud theory consisted of<br />four fraud risk factors are pressure, opportunity, rationalization<br />and capability. Diamond fraud theory can be used in predicting<br />fraud in proksikan with earnings management.


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 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani

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.


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