Predicting Auditor’s Opinion on Financial Statements of Public Enterprises Based on Indicators of the Beneish M-score Model

Gadžo Amra (), Halilbegović Sanel (), Đaković Alma Osmanović () and Hodžić Adisa ()
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Gadžo Amra: Associate professor, Faculty of Economics, University of Tuzla
Halilbegović Sanel: Associate professor Faculty of Economics, International Burch University
Đaković Alma Osmanović: MA, Professor of physics High school Tuzla
Hodžić Adisa: BA in Economics Faculty of Economics, University of Tuzla

Journal of Forensic Accounting Profession, 2022, vol. 2, issue 2, 1-13

Abstract: Considering the burning problem of corruption and non-transparency of public enterprises in the Federation of Bosnia and Herzegovina (FBiH), the paper aims to investigate whether the Beneish M-score model can be used to predict inaccurate financial statements. Where, the cause of inaccurate financial statements are intentional or unintentional errors. On a sample of 200 financial statements of public enterprises and related audit reports issued by the Audit Office of the Institutions in FBiH, we made a link between the Beneish M score model with its partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) and four types of opinions: positive, opinion with distraction, negative and refraining from giving opinions. The research was conducted using descriptive statistics and an artificial neural network with the “scaled conjugate gradient backpropagation (trainscg)” algorithm for pattern recognition and classification. The research results show that it is possible on the basis of 8 partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) i.e. 24 balance sheet position for their calculation, predict the auditor’s opinion on the quality of financial statements of public companies with an accuracy ranging between 98 and 100% in repeated procedures. The results of the research have their practical usefulness and can serve to researchers, creditors, customers, suppliers and state auditors in planning resources and priorities for performing financial audits at public companies in the FBiH.

Keywords: Beneish M-score; Artificial neural networks; Predicting auditors’ opinions; Public enterprises (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:jfaccp:v:2:y:2022:i:2:p:1-13:n:5

DOI: 10.2478/jfap-2022-0006

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