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Prediction of Business Failure and Fraudulent Financial Reporting: Evidence from Malaysia

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  • Roshayani Arshad
  • Sharinah Mohamed Iqbal
  • Normah Omar

Abstract

Fraud has been of concern for many corporate managers and regulators since many businesses have been victim of business failures. Business failure corporations have reported and become an element of fraudulent financial reporting.Therefore, the first aim of this study is to examine whether a collective prediction tool can be used to predict business failure and fraudulent financial reporting.The second and more important objective of this study is to examine whether business failure companies are associated with fraudulent financial reporting. The collective prediction tool is based on ratio analysis, Beneish M-score model and Z-score model. Using publicly available information in the annual reports of 24 failed firms matched with 24 non-failed firms listed on Bursa Malaysia, relevant information are extracted and applied in the three models to assist in predicting business failure and detecting fraudulent financial reporting. A total of 10 ratios, cash conversion cycle, Beneish M-score model and Altman's Z-score model were identified for examination as potential predictors of business failure and fraudulent financial reporting. Based on the results, the model was accurate in classifying the total sample of approximately 96 per cent as predictors of business failure and approximately 83.3 per cent as predictors of fraudulent financial reporting as well as predicting the relationship between business failures and fraudulent financial reporting. Hence, it can be concluded that these model functions effectively and can be adopted by regulators, bankers, management, internal and external auditors and to the forensic accountants so that proper preventive or corrective action can be taken to mitigate fraud at its inception.

Suggested Citation

  • Roshayani Arshad & Sharinah Mohamed Iqbal & Normah Omar, 2015. "Prediction of Business Failure and Fraudulent Financial Reporting: Evidence from Malaysia," Indian Journal of Corporate Governance, , vol. 8(1), pages 34-53, June.
    • Handle: RePEc:sae:ijcgvn:v:8:y:2015:i:1:p:34-53
    DOI: 10.1177/0974686215574424
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    Cited by:

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    2. Ritesh Khatwani & Mahima Mishra & V. V. Ravi Kumar & Janki Mistry & Pradip Kumar Mitra, 2024. "Creating quality portfolios using score-based models: a systematic review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    3. Tomy Rizky Izzalqurny & Bambang Subroto & Abdul Ghofar, 2019. "Relationship between Financial Ratio and Financial Statement Fraud Risk Moderated by Auditor Quality," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 34-43, July.
    4. Siti Fadilah Bt Mat Zin & Marziana Madah Marzuki & Nik Kamaruzaman Hj. Abdulatiff, 2020. "The Likelihood of Fraudulent Financial Reporting: The New Implementation of Malaysian Code of Corporate Governance (MCCG) 2017," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 84-91, June.
    5. Nurul Izzaty Hasanah Azhar & Norziana Lokman & Md. Mahmudul Alam & Jamaliah Said, 2021. "Factors determining Z-score and corporate failure in Malaysian companies," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 370-386.
    6. Nguyen Thi Mo & Cao Minh Tien & Tran Thi Lan Anh & Tran Van Hai, 2024. "Human Resource Management Factors in Financial Analysis of Securities Companies," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 154-162, July.

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