A comparative earnings manipulation analysis using beneish m score and dechow f score: The case of a ZSE selected firm
DOI:
https://doi.org/10.61511/jembar.v3i2.2026.2025Keywords:
beneish m score, dechow f score, fraudulent financial reporting, manufacturing firmsAbstract
Background: The study seeks to compare Beneish M Score and Dechow F score proficiency in financial statement fraud detection utilizing a selected Zimbabwe Stock Exchange listed manufacturing firm. Methods: A quantitative research approach was adopted for the study. The Dechow F Score model and Beneish M Score were utilised in the analysis of secondary data of the selected firm from 2011 to 2015 and during the hyperinflation period relevant financial information from 2021 to 2023. The findings were cross validated with Independent external auditor reports. Finding: There exists no fraudulent financial reporting utilising the F Score model from 2011 to 2015 as the F Score was less than 1. The M score attests to non-manipulation from 2011 to 2014, with 2015 -2.009 reveals manipulation of financials but relatively low risk. The year 2023 has an F Score of 1.151 which falls within the above normal risk category. The Independent Auditor Report (IAR) reveals unqualified audit opinion for the years 2021 and 2023. In the year 2022, IAR exposes a qualified audit opinion. The M Score reveals non manipulation in 2021 and 2023 but manipulation detected in 2022. The findings reveal the Beneish M Score has 87.5% accuracy with Dechow F Score 62.5% accuracy. Conclusion: The period under study from 2011 to 2015 and 2021 to 2023 were selected for the study due constant changes to local currency adoption for which relevant financial information was available. Novelty/Originality of this article: The study provides insight into earnings manipulation models (Beneish M Score and Dechow F Score) in normal economic environment as well as hyperinflation. During periods of hyperinflation, the Dechow F score signified financial statements were high risk validating false positives when compared to the Beneish M Score findings that were in line with IAR opinions.
References
ACFE. (2022). Occupational Fraud 2022: A Report to the Nations. Association of Certified Fraud Examiners. https://acfepublic.s3.us-west-2.amazonaws.com/2022+Report+to+the+Nations.pdf
Aghghaleh, S. F., Mohamed, Z. M., & Rahmat, M. M. (2016). Detecting Financial Statement Frauds in Malaysia: Comparing the Abilities of Beneish and Dechow Models. Asian Journal of Accounting & Governance, 7. http://dx.doi.org/10.17576/AJAG-2016-07-05
Akra, R. M., & Chaya, J. K. (2021). Testing the effectiveness of Altman and Beneish models in detecting financial fraud and financial manipulation: Case study Kuwaiti Stock. International Journal of Business and Management, 15(10), 1-70. https://ideas.repec.org/a/ibn/ijbmjn/v15y2021i10p70.html
Anning, A. A., & Adusei, M. (2022). An analysis of financial statement manipulation among listed manufacturing and trading firms in Ghana. Journal of African Business, 23(1), 165-179. https://doi.org/10.1080/15228916.2020.1826856
Beneish, D. (1999). The Detection of Earnings Manipulation. Financial Analysts Journal, 55, 24-36. https://doi.org/10.2469/faj.v55.n5.2296
Beneish, M. D. (1997). Detecting GAAP violation: Implications for assessing earnings management among firms with extreme financial performance. Journal of accounting and public policy, 16(3), 271-309. https://doi.org/10.1016/S0278-4254(97)00023-9
Cecchini, M., Aytug, H., Koehler, G. J., & Pathak, P. (2010). Detecting management fraud in public companies. Management Science, 56(7), 1146-1160. https://doi.org/10.1287/mnsc.1100.1174
Chakrabarty, B., Moulton, P. C., Pugachev, L., & Wang, X. (2025). Catch me if you can: In search of accuracy, scope, and ease of fraud prediction. Review of Accounting Studies, 30(2), 1268-1308. https://doi.org/10.1007/s11142-024-09854-4
Dechow, P. M., Ge, W., Larson, C. R., & Sloan, R. G. (2011). Predicting material accounting misstatements. Contemporary accounting research, 28(1), 17-82. https://doi.org/10.1111/j.1911-3846.2010.01041.x
Durana, P., Blazek, R., Machova, V., & Krasnan, M. (2022). The use of Beneish M-scores to reveal creative accounting: Evidence from Slovakia. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(2), 481-510. https://www.ceeol.com/search/article-detail?id=1069314
Hosho, N., Matowanyika, K., & Chinoda, T. (2013). Detection of creative accounting related frauds in the Zimbabwean cotton industry-the internal auditor’s role: Evidence from one large cotton company. Research Journal of Finance and Accounting, 4(7), 42-44. https://www.iiste.org/Journals/index.php/RJFA/article/view/6271/0
Hou, B., Lin, R., Li, X., Liu, Z., & Zheng, J. (2023, June). Using Beneish M-Score and F-Score to Detect Financial Fraud. In Proceedings of the 6th International Conference on Economic Management and Green Development (pp. 1383-1400). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-7826-5_131
Husnurrosyidah, H., & Fatihah, I. (2022). Fraud Detecting Using Beneish M-Score and F-Score: Which is More Effective. EQUILIBRIUM: Jurnal Ekonomi Syariah, 10(1), 137-151. http://dx.doi.org/10.21043/equilibrium.v10i1.15351
IAASB. (2013). International Standard on Auditing 240: The Auditor's Responsibilities Relating to Fraud in an Audit of Financial Statements. International Auditing and Assurance Standards Board. https://www.ifac.org/system/files/publications/files/A012%202013%20IAASB%20Handbook%20ISA%20240.pdf
ICAEW. (2020). How to report on irregularities, including fraud, in the auditor's report – a guide for auditors. https://www.icaew.com/technical/audit-and-assurance/audit/reporting-and-completion/how-to-report-on-irregularities
ICAZ. (2020). Auditor Opinion Issues Related to IAS 21. Institute of Chartered Accountants of Zimbabwe. https://www.icaz.org.zw/wp-content/uploads/2020/05/Auditor-Opinion-Issues-Related-to-IAS-21.pdf
Kamal, M. E. M., Salleh, M. F. M., & Ahmad, A. (2016). Detecting financial statement fraud by Malaysian public listed companies: The reliability of the Beneish M-Score model. Jurnal Pengurusan, 46, 23-32. https://www.ukm.my/jurnalpengurusan/wp-content/uploads/2022/10/jp_46-3.pdf
Lennox, C. S., & Pittman, J. A. (2011). Voluntary audits versus mandatory audits. The accounting review, 86(5), 1655-1678. https://doi.org/10.2308/accr-10098
Madziva, R., Nachipo, B., Musuka, G., Chitungo, I., Murewanhema, G., Phiri, B., & Dzinamarira, T. (2022). The role of social media during the COVID-19 pandemic: Salvaging its ‘power’for positive social behaviour change in Africa. Health promotion perspectives, 12(1), 22. https://doi.org/10.34172/hpp.2022.03
Mahesarani, D. S., & Chariri, A. (2016). Corporate governance and financial statement frauds: Evidence from Indonesia. In The 1st International Conference on Economics, Education, Business, and Accounting (ICEEBA) (pp. 489-495). http://eprints.undip.ac.id/66646/1/21_Proceeding_ICEEBA.pdf
Makichi, T. (2015). COMESA Tackles unfair business practices. The Herald. https://allafrica.com/stories/201507210350.html
Marais, A., Vermaak, C., & Shewell, P. (2023). Predicting financial statement manipulation in South Africa: A comparison of the Beneish and Dechow models. Cogent Economics & Finance, 11(1), 2190215. https://doi.org/10.1080/23322039.2023.2190215
Murphy, P. R., & Dacin, M. T. (2011). Psychological pathways to fraud: Understanding and preventing fraud in organizations. Journal of business ethics, 101(4), 601-618. https://doi.org/10.1007/s10551-011-0741-0
Newzwire. (2019). Tongaat scandal: How Hippo Valley bosses sugercoated results for bonuses. Newzwire. https://newzwire.live/tongaat-scandal-how-hippo-valley-bosses-sugarcoated-results-for-bonuses/
Nkomo, C. (2019). ED’s Visions 2030 a ‘’pipe dream”. New Zimbabwe. https://www.newzimbabwe.com./eds-vision-2030-a-pipe-dream/
Nurcahyono, N., Hanum, A. N., Kristiana, I., & Pamungkas, I. D. (2021). Predicting fraudulent financial statement risk: The testing dechow f-score financial sector company inindonesia. Universal Journal of Accounting and Finance, 9(6), 1487-1494. https://doi.org/10.13189/ujaf.2021.090625
Nyakarimi, S. (2022). Probable earning manipulation and fraud in banking sector. Empirical study from East Africa. Cogent Economics & Finance, 10(1), 2083477. https://doi.org/10.1080/23322039.2022.2083477
Ofori, E. (2016). Detecting corporate financial fraud using Modified Altman Z-score and Beneish M-score. The case of Enron Corp. Research Journal of Finance and Accounting, 7(4), 59-65. https://www.iiste.org/Journals/index.php/RJFA/article/view/28971
Omeir, A. K., Vasiliauskaitė, D., & Soleimanizadeh, E. (2023). Detection of financial statements fraud using Beneish and Dechow models. Journal of governance and regulation., 12(3), 334-344. https://doi.org/10.22495/jgrv12i3siart15
Ross, S. A. (1973). The economic theory of agency: The principal's problem. The American economic review, 63(2), 134-139. https://www.jstor.org/stable/1817064
Shu, W., He, T., Li, X., & Gong, Y. (2022, December). Validity of Fraud Detection Models on Fraudulent US-listed Chinese Companies. In 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022) (pp. 1759-1781). Atlantis Press. https://doi.org/10.2991/978-94-6463-098-5_199
Tran, M. D., Dang, N. H., & Hoang, T. V. H. (2018). Research on misstatements in financial statements: the case of listed firms on Ho Chi Minh City stock exchange. International Journal of Applied Business and Economic Research, 15(23), P2.
Wisdianti, D., Arum, E., & Wijaya, R. (2022). The analysis of fraud detection using the Beneish ratio index and the F score model method on the financial statements of the state-owned insurance companies registered in Indonesia. In Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia. http://dx.doi.org/10.4108/eai.2-12-2021.2320344
Xu, H., Shi, W., Xia, J., & Liu, M. (2023). M-Score and F-score from the financial statement for company fraud prediction. Advances in Economics, Management and Political Sciences, 9(1), 196-205. https://doi.org/10.54254/2754-1169/19/20230138
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