scholarly journals The Effect Of Financial Health Levels To The Indication Of Financial Statement Fraud In Transportation Sector

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.

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.


2018 ◽  
Vol 8 (2) ◽  
pp. 139
Author(s):  
Ika Kumala Sari ◽  
Istutik Istutik

This research aims to detect the financial statement Fraud by using analysis of fraud triangle. Based on the theory advanced by Donald R Cressey (1953) or the theory of Cressey, there are three conditions that are always present in the act of fraud, namely pressure, opportunity and rationalization which is referred to as the fraud triangle. These three conditions are risk factors for the incidence of fraud in various conditions. However, in this study only analyzed using the fraud triangle element variable pressures and opportunity, and do not use the variable element of rationalization. The variables used in this study consisted of each of the elements including the Financial Stability proxied by the ratio of the change in total assets (ACHANGE), financial targets proxied by Return on Assets (ROA), the nature of the industry which is proxied by the ratio of change in receivables (RECEIVABLE), and ineffective monitoring proxied by the ratio of independent directors (IND) and variable financial statement fraud proxied by the earnings management.The population in this study are a company listed in JII Company (Jakarta Islamic Index) and publish annual reports in a row during  2011-2015. The sampling technique is purposive sampling. Based on these criteria was selected 12 companies sampled in this study. The analysis used is multiple linear regression and SPSS 22 software using the results of testing tools.This study indicate that the Financial Stability variables, the financial targets, the nature of the industry a significant positive effect on the Financial Statement Fraud and Ineffective Monitoring while significant negative effect on the Financial Statement Fraud.


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.


2017 ◽  
Vol 23 (8) ◽  
pp. 7054-7058 ◽  
Author(s):  
Ricardo Parlindungan ◽  
Fernando Africano ◽  
P. Sri Megawati Elizabeth

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.


2019 ◽  
Vol 4 (2) ◽  
pp. 128-138
Author(s):  
Faiz Rahman Siddiq ◽  
Agus Endrianto Suseno

Financial statement fraud biasa disebut dengan kecurangan laporan keuangan yang merupakan kesengajaan dalam melakukan kelalaian dan kesalahan ketika  membuat laporan keuangan dengan penyajian yang tidak sesuai pada prinsip akuntansi berterima umum. Statement on Auditing Standards (SAS) No.99 menjelaskan tentang salah saji yang berhubungan dengan auditor dalam mengaudit laporan keuangan terhadap fraud diantaranya adalah (1) salah saji dari kesalahan suatu laporan keuangan merupakan suatu  pengungkapan yang direncanakan guna menipu pengguna laporan keuangan, (2) penyalahgunaan aset atau istilah lain pencurian dan penggelapan sering dijadikan sebagai salah saji dalam laporan keuangan. Fraud pentagon theory merupakan pengembangan dari teori fraud sebelumnya yaitu fraud triangle (Cressey, 1953) dan fraud diamond (Wolf and Hermanson,2004). Populasi penelitian ini adalah perusahaan yang tergabung dalam Indeks JII (Jakarta Islamic Index) pada tahun 2014-2017. Teknik pengambilan sampel dengan menggunakan metode purposive sampling. Metode analisis data yang digunakan dalam penelitian ini adalah analisis regresi linear berganda. Financial statement fraud dalam penelitian menggunakan perspektif F-Score Model. Hasil penelitian ini adalah pressure (Financial Stability, dan Financial Target), dan Opportunity (Nature of Industry) berpengaruh terhadap financial statement fraud. Sedangkan Pressure (External Pressure dan Personal Financial  Need), Rationalization (Change in Auditor), Competence (Change of Director) dan Arrogance (Frequent Number of CEO’s Picture dan Dualism Position) tidak berpengaruh terhadap financial statemnt fraud.


2016 ◽  
Vol 1 (2) ◽  
pp. 317 ◽  
Author(s):  
Shabrina Prasmaulida

Financial statements generally aim to provide information about the company’s financial position, performance, and cash flows to the interested parties. The motivation to gain trust from the users, especially investors, shareholders and creditors, leads someone to commit fraud in the financial reporting. This study aims to detect and predict financial statement fraud based on the perspective of fraud triangle adopted by SAS No. 99. The dependent variable in this study is financial statement fraud which is proxied by earnings management, while the independent variables in this study are financial stability pressure, personal financial need, ineffective monitoring, effective monitoring, external pressure, and financial targets.Population of this research is manufacturing companies listed in Indonesia Stock Exchange period 2012 - 2014. Samples are selected using purposive sampling method and obtained 150 companies out of a total population of 162 companies. The results show that financial stability pressure and external pressurehave significant positive effect on financial statement fraud. Meanwhile, personal financial need, ineffective monitoring, effective monitoring, and financial targets do not have significant effect on financial statement fraud.


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