scholarly journals Using Beneish M-Score and Altman Z-Score models to detect financial fraud and company failure

2021 ◽  
Vol 69 (4) ◽  
pp. 20-29
Author(s):  
Snežana Knežević ◽  
Marko Špiler ◽  
Marko Milašinović ◽  
Aleksandra Mitrović ◽  
Stefan Milojević ◽  
...  

Bankruptcy is a risk that any company can face, regardless of its size. The importance of predicting a company's bankruptcy for years before its development is enormous, and it is important for financial sustainability. Financial reporting is an important platform for making financial decisions of investors and creditors. In recent years, the frequency of false financial reporting by firms has increased and there are concerns about investors' confidence in capital market. Academics and industry experts adopt a variety of risk management techniques to detect fraudulent financial reporting. A case study was applied in this paper. Based on publicly available financial data (disclosed financial statements) of a domestic textile company for the period 2017-2020, whose shares are listed on the stock exchange, a survey was conducted based on the application of Altman's Z-Score model and Beneish M-Score model. Financial distress is an important criterion to monitor when assessing the likelihood of fraud reporting. When a company is operating poorly, there is a greater motivation to engage in fraudulent financial reporting. The findings show that the results differ according to the applied method in terms of identifying the possibility of bankruptcy and the possibility of fraud in the financial statements of the observed company. The results of the study can be important to investors, auditors, regulators, bankers, tax and other government bodies.

2012 ◽  
Vol 3 (2) ◽  
pp. 654
Author(s):  
Iswandi Iswandi

PT. Berlian Laju Tanker, Tbk. (BLTA) is a company engaged in the ocean transportation services listed on the Indonesia Stock Exchange and the Singapore Stock Exchange. In 2009 and 2010 BLTA experienced a net loss. At the end of 2011 the company rocked the financial markets in Indonesia and Singapore being unable to meet financial obligations to financial institutions and corporate bondholders. Given such conditions until the end of August 2012 BLTA can not submit audited financial statement of year 2011 to the authorities of stock exchange and public. By using the 2007 to 2010 audited financial statements and June 2011 inhouse financial statement were analyzed using Altman's Z score model can be known that since 2007 BLTA produce a Z score were classified bankruptcy. Investors should analyze the financial condition by using Z Score in order to minimized shareholders and bondholders potential losses.


2017 ◽  
Vol 26 (01) ◽  
pp. 136-163
Author(s):  
Suci Kurniawati

 The purpose of this study is to analyze the company's financial distress on basis industry and chemical sectors as many as 57 companies using the ALTMAN Z-Score model in 2013-2014. The data which used was secondary data, such as Financial Statements of manufacturing company publication issued by Indonesian Stock Exchange (BEI) and obtained by downloading the website: www.idx.com. This study uses descriptive quantitative method. The finding of Z-Score index in basis industry and chemical sector in 2013 is occupied by PT. Intan Wijaya Internasional Tbk on chemical subsector and 2014 is occupied by PT. Alakasa Industrindo Tbk on metal subsector and others, with the first highest rank and healthy condition, whereas the last and lowest rank on wood and processing sector  in 2013-2014 is PT. SLJ Global Tbk, with having financial distress condition. The findings of this study are not consistent or even  in accordance with the reality which shows that the Altman method can not be used as a tool to indicate a tendency towards company’s financial distress.


JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus

Financial distress is the financial difficulties experience by a company before the company become bankruptcy (Mafiroh, 2016). The purpose of this study was to determine which firms would be predicted financial distress. The population in this research is manufacturing companies listed in Indonesia Stock Exchange in 2015. In this study, the population is used 365 companies. The process of collecting samples are using purposive sampling method. The model used to analyze the rate of financial distress is Altman Z-Score Model. The results showed that of the 15 companies that were sampled 5 (five) of them were healthy (>2,99), 2 (two) of them were financial distress (<1,81) and 8 (eight) indicated in grey area (1,81 – 2,99).  


2017 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Suci Kurniawati

Analysis of financial distress is very important, because it enables to assess an indication of the company's financial distress, how the indication of financial distress using Altman z-score in industry manufacturing sector in 2013-2014, and whether the Altman z-score model can be used as a tool in predicting the tendency of financial distress. The purpose of this study is to analyze the financial distress of 125 manufacturing companies with different sectors and subsectors using Altman Z-Score model in 2013 and 2014. The source of data used was secondary data, such as financial statements of manufacturing companies’ publication issued by BEI and obtained from the internet by downloading through the website: www.idx.com. This study employed descriptive quantitative method. The findings of the Z-Score index on manufacturing companies in 2013 were occupied by PT. Intan Wijaya International Tbk. in chemical subsector, and in 2014 Herbal and Pharmaceutical Industry of PT Sido Muncul Tbk. was the first highest rank and healthy condition.  Whereas the lowest rank was PT. Asia Pacific Fiber Tbk. in textile and garment sub-sector in 2013 and 2014, having financial distress condition. The findings of this study are not consistent or even in accordance with the reality which shows that the Altman method cannot be used as a tool to indicate a tendency towards company’s financial distress.


2012 ◽  
Vol 3 (1) ◽  
pp. 165
Author(s):  
Iskandar Putong ◽  
Engelwati Gani

Analysis of financial distress at the main company that has sold its shares in an open society (go public) becomes so important because most companies always display the good side of the company in the form of financial reporting data each year. For ordinary people the financial statements audited by a valid and authorized institutions listed on stock exchange by naked eye showed a good performance in finance, but in a more in-depth analysis of the data the form of numbers that will give I different conclusion to the eyes economists and financial analysts to the case. In this study, it is used general sample 4 companies engaged in finance. The Discriminant analysis model using the Altman Z-Score that dissect the financial statements of the company for 3 years showed that not always the companies that have go public must be good financial performance as well. Two of four companies surveyed, in fact, are predicted theoretically bankrupt because the companies were experiencing financial distress.


2019 ◽  
Vol 4 (2) ◽  
pp. 298
Author(s):  
Yunan Surono ◽  
Sindy Dwiroro Pangestu

This research aims to prove the financial performance of Manufacture sector with Multiple Discriminant Analysis Bankruptcy Model when measured using the Altman's Z-score first model, Altman's Z-score revision and Altman's Z-score modifications, Springate model and Zmiejewski model as well as to get the stocks that have the best performance based on the model. In this research the population used is the stock sector manufacturing group on the Indonesia Stock Exchange in the year 2014 – 2017 as many as 166 issuers manufacture. This research sample is the manufacture sector company, which provides complete data, and has a total asset of positive value and fluctuates as many as 22 companies. This form of research is an explolanatoris research (explanatory Research). The results showed, that based on the first Altman's Z-score model, in 2014 the company's performance in a healthy or not bankrupt category was 31.82%, while the company had a gray performance of 22.73%, as for The company's performance with the category broke by 45.45%. In 2015 the company's performance with a healthy category of 27, 27, 82%, a company that had a gray performance of 27.27%, the company's performance of the category went bankrupt by 45.45%. In 2016 the company's performance with a healthy category of 22, 73, 82%, the company had a gray performance of 36.36%, as for the performance of the company with the category bankrupt by 36.36%. In 2017 the company's performance with a category of 40.91%, the company has a gray performance of 22.73%, as for the performance of the company with the category bankrupt by 36.36%. Based on the model Altman Z-Score revision can be concluded that in 2014 the company's performance with a healthy category of 31.82%, a company that has a gray performance of 54.55%, as for the performance of the company with the category bankrupt 13.64%. Year 2015 the performance of the company with a healthy category of 27.27%, the company has a gray performance of 54.55%, the company with the category went bankrupt by 18.18%. Year 2016 the company's performance with a healthy category of 45.45%, while the company has a gray performance of 36.36%, the company with the category went bankrupt by 18.18%. Year 2017 the performance of the company with a healthy category of 50.00%, the company that has a gray performance of 31.82%, the performance of the company with the category bankrupt by 18.18%. Based on the model of Altman Z-score modification can be concluded, namely in 2014 the performance of the company with a healthy category of 72.73%, the company that has a gray performance of 22.73%, as for the performance of the company with the category bankrupt of 4.55%. In 2015 the company's performance with a healthy category of 72.73%, while the company had a gray performance of 18.18%, as for the company's performance in the category went bankrupt by 9.09%. In 2016 the company's performance with a healthy category of 77.27%, the company had a gray performance of 13.64%, the company's performance in the category went bankrupt by 18.18%. In 2017 the company's performance with a healthy category of 81.82%, while the company had a gray performance of 13.64%, as for the company's performance in the category went bankrupt by 4.55%. Based on Springate model can be concluded, namely in 2014 the performance of the company with a healthy category of 59.09%, while companies that have a gray performance is not there, as for the performance of the company with the category bankrupt by 40.91%. In 2015 the company's performance with a healthy category of 50.00%, while companies that had a gray performance did not exist, the performance of the company with the category went bankrupt by 50.00%. In 2016 the company's performance with a healthy category of 59.09%, while companies that have a gray performance does not exist, as for the performance of the company with the category bankrupt by 40.91%. In 2017 the company's performance with a healthy category of 63.64%, while companies that have a gray performance does not exist, as for the performance of the company with the category bankrupt by 36.36%. Based on Zmiejewski model can be concluded, in 2014 to 2017 the performance of companies with a healthy or not bankrupt category is 100%, while companies that have a gray performance does not exist, as for the performance of the company with Bankruptcy category does not exist. Stocks that have the best performance based on each multiple discriminant analysis bankruptcy models respectively, namely INTP, CEKA, MERK, GGRM, LMSH, CPIN, MLBI, IKBI, TRIS UNIC and INDF, who have never experienced bankruptcy or in financial distress.


2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.


2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Aris Sanulika ◽  
Wahyu Nurul Hidayati

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


2021 ◽  
Vol 3 (3) ◽  
pp. 157-163
Author(s):  
Anang Makruf ◽  
Deni Ramdani

Abstract – The aim of the study was to analyze financial distress in cigarette companies list in Indonesia Stock Exchange in 2015-2019 using 3 methods, Altman Z-Score, Zmijewski, and Springate. Purposive sampling is used in this study to determine the sampling technique. The sample used in this study released 4 cigarette companies. Descriptive asalysis with quantitative models was used to analyze data in this research. Altman Z-Score, Zmijewski, and Springate in 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, and PT. Wismilak Inti Makmur Tbk is related to safe, but it is needed a company that is estimated to be grey in the Altman Z-Score calculation in 2018, PT. Wismilak Inti Makmur Tbk. The Z-score is at the limit because the companie has a ratio with a lower value in market value of equity  to book value of liabilities   Abstrak – Penelitian ini memiliki bertujuan untuk menganalisis perbandingan kesulitan keuangan dalam perusahaan sun sektor rokok di Indonesia Stock Exchange periode 2015-2019 menggunakan tiga metode. Metode yang digunakan yaitu Altman Z-Score, Zmijewski, dan Springate. Purposive sampling digunakan dalam penelitian ini untuk menentukan teknik pengambilan sampel. Sampel yang digunakan berjumlah 4 perusahaan rokok. Analisis deskriptif dengan pendekatan kuantitatif digunakan sebagai teknik analisis data. Dalam penelitian ini menjelaskan financial distress yang dihitung menggunakan metode Altman Z-Score, Zmijewski , dan Springate pada tahun 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, dan PT. Wismilak Inti Makmur Tbk mengalami dalam kondisi keuangan yang sehat, namun terdapat perusahaan yang diestimasi rawan kebangkrutan pada perhitungan Altman Z-Score pada  tahun 2018 yaitu PT. Wismilak Inti Makmur Tbk. hal ini dapat terjadi  karena nilai Z-Score PT. Wismilak Inti MakmurTbk  berada pada Z < 1,81 salah satu penyebabnya ialah rendahnya rasio market value of equity terhadap liabilities.


Akuntabilitas ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 139-152
Author(s):  
Wulanda Maya Sari ◽  
Anik Irawati

This study aims to empirically prove the influence of financial stability, external pressure, and ineffective monitoring on fraudulent financial reporting. Financial stability was measured using a comparison of total assets. External pressure was measured using leverage. Meanwhile, ineffective monitoring was measured using the ratio of independent commissioners’ number. The dependent variable in this study was fraudulent financial reporting. It was measured using the F-Score Model. The sample in this study were 21 State Owned Enterprises (BUMN) listed on Indonesia Stock Exchange in period of 2017-2019. The data analysis method used in this study was Logistic Regression using SPSS software version 20. The results of this study indicate that financial stability has no influence on fraudulent financial reporting. Meanwhile, external pressure and ineffective monitoring influence fraudulent financial reporting.How to cite:Sari, W. M., & Irawati, A. (2021). Faktor-faktor yang Mempengaruhi Fraudulent Financial Reporting. Akuntabilitas: Jurnal Ilmu Akuntansi, 14(2), 139-152.


Sign in / Sign up

Export Citation Format

Share Document