scholarly journals Testing of Fraudulent Financial Statements With the Beneish M-Score Model for Manufacturing Companies Listed in the Indonesian Stock Exchange

2021 ◽  
Author(s):  
Ponny Harsanti ◽  
Ulva Rizky Mulyani
Keyword(s):  
Stock Exchange ◽  
Growth Index ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Financial Condition ◽  
Score Model ◽  
Asset Quality ◽  
Fraudulent Financial Statements

Fraudulent financial statements are disclosures of a company’s financial condition which are intentionally made inaccurate by eliminating values. This study aimed to examine the effect of using the Beneish M-Score model against fraud reports of manufacturing companies listed in the Indonesian Stock Exchange in 2016 -2018. Purposive sampling was used and the sample consisted of 69 companies. The results showed that the Days Sales in Receivables Index, Gross Margin Index and Total Accrual to Total Asset had a significant positive effect on financial statement fraud, while the Asset Quality Index, Sales Growth Index, Depreciation Index, Sales General and Administrative Expenses Index, and Leverage Index did not affect fraudulent financial statements. Keywords: fraud, Beneish, logistic regression

scholarly journals DETECTION OF FRAUDULENT FINANCIAL STATEMENTS USING THE BENEISH RATIO INDEX FOR MANUFACTURING COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE IN 2016 AND 2017 PERIOD

2019 ◽  
Vol 8 (2) ◽  
pp. 66
Author(s):  
Rezky Febriendy Darise
Keyword(s):  
Stock Exchange ◽  
Growth Index ◽  
Financial Statements ◽  
Net Income ◽  
Accounting Fraud ◽  
Manufacturing Companies ◽  
Gross Margin ◽  
Transparency International ◽  
Asset Quality ◽  
Fraudulent Financial Statements

Fraud is an action taken intentionally and it is done for personal or other people's purposes, where the action has caused harm to certain parties or certain institutions. Misstatements contained in fraudulent financial statements are intentional misstatements to deceive users of financial statements. The source of this misstatement includes manipulation or falsification of accounting records, intentional misstatements or omissions from financial statements, and / or incorrect application of accounting principles. In Indonesia, accounting fraud also occurs at the company level, both private and government companies. On December 6, 2012, the announcement of Indonesia's score in the Corruption Perception Index (CPI) was 32 and ranked 118th out of 176 countries which measured the level of corruption (Transparency International, 2012). In 2001, a fraud scandal occurred by PT Kimia Farma Tbk. PT Kimia Farma is a state-owned company whose shares have been traded on the exchange to become public company. Based on indications by the Ministry of BUMN and Bapepam's examination, it was found that there were misstatements in the financial statements which resulted in overstatement of net income for the year ended 31 December 2001 of Rp. 32.7 billion, which represented 2.3% of sales and 24.7% from net income. The author's purpose of this study is to discuss about detecting fraud in financial statements by using 5 (five) of the 8 (eight) Beneish ratio indices, because Beneish's research states that the Days Sales in Receivables Index (DSRI) ratio index, the Gross Margin Index ( GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accrual to Total Asst Index (TATA) have significant results to detect financial report manipulation.

scholarly journals Analisis Perbandingan Fraud Pentagon dengan Beneish Ratio dalam Pendeteksian Fraudulent Financial Reporting dengan Opini Audit sebagai Variabel Moderating

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Aris Sanulika ◽  
Wahyu Nurul Hidayati
Keyword(s):  
Financial Reporting ◽  
Financial Stability ◽  
Stock Exchange ◽  
Secondary Data ◽  
Growth Index ◽  
Financial Statements ◽  
Fraudulent Financial Reporting ◽  
Gross Margin ◽  
Publicly Traded Companies ◽  
Asset Quality

ABSTRACTFraudulent Financial Reporting is a deliberate attempt by a company to deceive and mislead users of financial statements, especially investors and creditors, by presenting and manipulating the material value of financial statements. This study aims to determine how the auditor's opinion can moderate the comparative analysis of the pentagon fraud with the beneish ratio in the detection of fraudulent financial reporting. The type of data used in this study is comparative quantitative data. The data source in this study is secondary data. The population in this study are banking companies listed on the IDX. With a sample of 16 publicly traded companies engaged in financial and banking institutions and were listed on the Indonesia Stock Exchange in 2014-2017. The results of this study indicate that of 64 samples there were 12.5% which indicated that the financial statements had been manipulated. Auditor opinions can increase the influence of Financial Stability, external auditor quality, change in auditor, change of directors, days sales in receivables index, sales gross margin Index, Asset Quality Index, growth index, depreciation index, sales, and general administration expenses index, leverage index, total accrual to fraudulent financial reporting. Beneish Ratio affects Fraudulent Financial Reporting while Fraud Pentagon does not affect Fraudulent Financial Reporting

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 The Effect of CFO Demographics on Fraudulent Financial Reporting

2020 ◽  
Vol 24 (1) ◽  
pp. 21
Author(s):  
Yulia Frischanita, Yustrida Bernawati
Keyword(s):  
Financial Reporting ◽  
Stock Exchange ◽  
Control Variable ◽  
Financial Statements ◽  
Financial Statement ◽  
Manufacturing Companies ◽  
Fraudulent Financial Reporting ◽  
Financial Statement Fraud ◽  
Negative Effect ◽  
Fraudulent Financial Statements

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.

Using Beneish model to detect corporate financial statement fraud in Greece

2016 ◽  
Vol 23 (4) ◽  
pp. 1063-1073 ◽  
Author(s):  
Spyridon Repousis
Keyword(s):  
Stock Exchange ◽  
Banking System ◽  
Limited Liability ◽  
Growth Index ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Data Set ◽  
Content Type

Purpose This paper aims to investigate empirically the eight-variables Beneish M-model to identify occurrence of financial statement fraud or tendency to engage in earning manipulation. Design/methodology/approach A data set of 25,468 companies (Société Anonyme and Limited Liability Companies) in Greece was analyzed during two-year period of 2011-2012. Financial statements of banks are excluded. Findings The results showed that 8,486 companies or 33 per cent of the whole sample has a greater than −2.2 score, which is a signal that companies are likely to be manipulators. Also, for manipulators, results using F-distribution showed that days sales in receivable index (DSRI), asset quality index (AQI), depreciation index, selling, general and administrative expenses index (SGAI), total accruals to total assets index and leverage index (LVGI) are significant at 99 per cent confidence level in its effect on Beneish M-score. Also, there is a significant relationship between earning management, as expressed by Beneish M-score and each one of variables, DSRI, AQI, gross margin index, sales growth index, SGAI and LVGI. Most of all, DSRI explains 95.92 per cent of the variation in Beneish M-score in statistical terms. Practical implications Results are important for banking system, because financial statements information influence credit decisions of banks. Debt agreements include terms based upon accounting numbers. Also, using Beneish Model, it is a cheap and easy way for examiners of possible fraudulent activity. Originality/value To the best of the author’s knowledge, there is a great lack of research in Greece, using Beneish model. There is only one more study using the Beneish model, examining only a few companies listed in Athens Stock Exchange during 1999-2000. Findings have also important implications not only for banks but also for users of Greek financial statement accounts, especially to investors, auditors, regulators, to taxation and other state authorities.

scholarly journals ANALISIS PENDETEKSIAN FINANCIAL STATEMENT FRAUD DENGAN PENDEKATAN MODEL BENEISH PADA PERUSAHAAN BUMN

2018 ◽  
Vol 13 (04) ◽  
Author(s):  
Hantono .
Keyword(s):  
Quality Index ◽  
Stock Exchange ◽  
Growth Index ◽  
Sampling Technique ◽  
Financial Statement ◽  
Fiscal Year ◽  
Sales Growth ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Asset Quality

This study aims to detect the possibility of fraud on BUMN companies listing on the Indonesia Stock Exchange 2012-2016 by using eight of Beneish's Model.The object of this study is all BUMN companies listing on the Indonesia Stock Exchange which publishes audited financial statements for fiscal year 2012 - 2016, which amounted to 20 (twenty) companies. The sampling technique is by using purposive sampling method where the sample is determined based on certain criteria determined by the researcher and has limitations in terms of generalization. The sample of research is 50 (fifty companies) Data collection method using documentation method Data analysis technique used is descriptive quantitative analysis using Beneish Ratio Index Variable in this research is Days' Sales In Receivables Index (DSRI), Gross Margin Index ( GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accruals To Total Assets Index (TATA)) Based on the eight models of Beneish's Model, the Days' Sales In Receivables Index (DSRI), Gross Margin Index GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), and Total Accruals To Total Assets Index (TATA) have no effect on fraud.Keywords:   financial statement, fraud, Beneish’s Model

scholarly journals DETERMINANT OF FRAUD PENTAGON IN DETECTING FINANCE OF FINANCIAL STATEMENTS

2020 ◽  
Vol 4 (1) ◽  
pp. 32-41
Author(s):  
Muhammad Bagus ◽  
Noviansyah Rizal ◽  
Siwidyah Desi Lastianti
Keyword(s):  
Internal Pressure ◽  
Stock Exchange ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Fraud ◽  
Test Results ◽  
Financial Statement Fraud ◽  
Score Model ◽  
Fraudulent Financial Statements ◽  
Industry Conditions

This study aims to determine the Pentagon Determinant Fraud in detecting fraudulent financial statements. Fraudulent financial statements are proxied by the Fraud Score Model. Whereas the pressure factor is proxied by insisting from within, for the opportunity factor proxied by industry conditions, the rationalization factor is proxied by the ratio of total accruals, the competency factor is proxied by the change of directors and arrogance is proxied by the duality of quality positions at the CEO. The population in this study amounted to 100 companies incorporated in the compass index 100 contained in the Indonesia Stock Exchange and for the sample of the study were 35 companies belonging to the compass index 100 contained in the Indonesia Stock Exchange, which was selected using the purposive sampling method for the 2017-2018 period. Data were analyzed using multiple linear regression. Based on the test results, it was concluded that the pentagon fraud component included internal pressure (LEV), industry conditions (INVENTORY), rationalization (TATA) influencing financial statement fraud while competence (DCHANGE) and arrogance (DCD) had no effect on financial fraud statement. This proves that internal pressure (LEV), industry conditions (INVENTORY), and rationalization (TATA) can be used to detect fraud in financial statements.

scholarly journals Analisis Financial Statement Fraud Menggunakan Beneish M-Score Model Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia

2020 ◽  
Vol 7 (1) ◽  
pp. 7
Author(s):  
Fitri Aulia Rachmi ◽  
Djoko Supatmoko ◽  
Bunga Maharani
Keyword(s):  
Quality Index ◽  
Growth Index ◽  
Financial Statement ◽  
Total Asset ◽  
Sales Growth ◽  
Financial Statement Fraud ◽  
Gross Margin ◽  
Score Model ◽  
Asset Quality ◽  
Total Accrual

Penelitian ini bertujuan menguji dan menganalisis penggunaan model Beneish M-Score untuk mendeteksi financial statement fraud. Data yang digunakan adalah data sekunder berupa laporan keuangan perusahaan pertambangan terbuka di Indonesia. Metode penelitian yang digunakan adalah metode kuantitatif dengan analisis diskriminan. Metode analisis diskriminan digunakan untuk menganalisa hubungan antara model Beneish M-Score dengan financial statement fraud dengan cara melihat faktor atau variabel mana yang secara nyata dapat mempengaruhi variabel dependen. Pengaplikasian analisis diskriminan dilakukan untuk menguji variabel independen manakah yang secara akurat dapat membedakan sampel laporan keuangan yang diduga telah dimanipulasi dan laporan keuangan yang diduga tidak dimanipulasi. Hasil penelitian menunjukkan bahwa variabel yang mampu membedakan sampel laporan keuangan yang diduga telah dimanipulasi dan diduga tidak dimanipulasi adalah variabel Days Sales Receivable Index (DSRI), Gross Margin Index (GMI), Sales Growth Index (SGI), dan Total Accrual to Total Asset (TATA) sementara variabel Asset Quality Index (AQI), Depreciation Index (DEPI), Sales and General Administration Expenses Index (SGAI), Leverage Index (LVGI) terbukti tidak mampu membedakan laporan keuangan yang diduga telah dimanipulasi dan diduga tidak dimanipulasi.

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.

scholarly journals Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Model Beneish Ratio Index

2020 ◽  
Vol 7 (02) ◽  
pp. 235-246
Author(s):  
Nurina Prawinin Tyas ◽  
Nurmala Ahmar ◽  
M. Ardiansyah Syam
Keyword(s):  
Financial Distress ◽  
Quality Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Growth Index ◽  
Sales Growth ◽  
Gross Margin ◽  
The Family ◽  
The Government ◽  
Asset Quality

ABSTRACT        This study aims to test and prove the empirical evidence of the Financial Distress Prediction Model of Family Companies in Indonesia with the Beneish Ratio Index. The sample used in this study is a group of family companies in Indonesia which are listed on the Indonesia Stock Exchange with an observation period of 31 December 2014 to 2018. The research method used is a quantitative method with a survey approach for secondary data. The Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), and Leverage Index (LVGI) variables do not differ in the treatment of the Beneish Model components based on the Financial Distress status of the Family Group Company. Variable Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), and Total Accruals to Total Assets Index (TATA) differ in the treatment of the Beneish Model component based on the Financial Distress status of the Family Company Group. This research contributes to the parties concerned with the prediction of financial distress, such as auditors and the government in assessing the potential for financial distress in the company. ABSTRAK         Studi ini bertujuan untuk menguji dan membuktikan bukti empiris Model Prediksi Financial Distress Grup Perusahaan Keluarga Di Indonesia Dengan Beneish Ratio Index. Sampel yang digunakan dalam penelitian ini adalah Grup perusahaan keluarga di Indonesia yang terdaftar di Bursa Efek Indonesia dengan periode pengamatan 31 Desember 2014 hingga 2018. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan survey untuk data sekunder. Variabel Days Sales in Receivable Index (DSRI), Sales Growth Index (SGI), Sales General and Administrative Index (SGAI), dan Leverage Index (LVGI) tidak ada perbedaan perlakuan komponen Beneish Model berdasarkan status Financial Distress pada Grup Perusahaan Keluarga. Variabel Gross Margin Index (GMI), Asset Quality Index (AQI), Depreciation Index (DEPI), dan Total Accruals to Total Assets Index (TATA) ada perbedaan perlakuan komponen Beneish Model berdasarkan status financial distress pada Grup Perusahaan Keluarga. Riset ini memberikan panduan kepada pihak-pihak yang berkepentingan terhadap memprediksi financial distress yang akan terjadi dalam perusahaan ataupun industri, pihak yang berkepentingan seperti Auditor dan Pemerintahan. JEL Classification : G32, M41

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