The Role of Forensic Accounting in Detecting and Preventing Corporate Financial Fraud

Authors

  • Emmanuel Asilaza Author

Keywords:

Forensic accounting, auditing, financial fraud, Fraud Detection

Abstract

Corporate financial fraud continues to impose substantial economic losses globally, undermining corporate governance and investor confidence. This study investigates the role of forensic accounting in detecting and preventing corporate financial fraud using secondary data from the Association of Certified Fraud Examiners (ACFE), audit firm publications, and government reports. The study was developed using two complementary methods: a comprehensive literature review and careful analytical examination of data. Findings reveal that forensic accounting significantly enhances fraud detection through data analytics, investigative procedures, and proactive control systems. However, its effectiveness is constrained by organizational, financial, and regulatory barriers. The study concludes that integrating forensic accounting into corporate governance frameworks and leveraging emerging technologies such as artificial intelligence (AI) and blockchain is critical for effective fraud mitigation.

References

Aksoy, T., & Uzay, S. (2021). Relationship between fraud auditing and forensic accounting. In Auditing ecosystem and strategic accounting in the digital era: Global approaches and new opportunities (pp. 127-146). Cham: Springer International Publishing.

Adejumo, A., & Ogburie, C. (2025). Forensic accounting in financial fraud detection: Trends and challenges. International Journal of Science and Research Archive, 14(3), 1219-1232. https://doi.org/10.30574/ijsra.2025.14.3.0815

Anghel, G., & Poenaru, C. E. (2023). Forensic Accounting, a Tool for Detecting and Preventing the Economic Fraud. Valahian Journal of Economic Studies, 14(2), 87-100.

Association of Certified Fraud Examiners. (2024). Occupational fraud 2024: Report to the nations.

Association of Certified Fraud Examiners. (2025). Top fraud trends of 2025.

Billings, B. A., Crumbley, D. L., & Knott, C. L. (2021). Tangible and intangible costs of white-collar crime. Journal of Forensic and Investigative Accounting, 13(2), 288-301.

Caines, M., & Zhang, Y. (2026). How White is Low-Level White-Collar Crime? A Multi-Level Comparison of Fraud and Street Crime. American Journal of Criminal Justice, 51(1), 216-242.

Capraș, I. L., & Achim, M. V. (2023). An overview of forensic accounting and its effectiveness in the detection and prevention of fraud. Economic and financial crime, sustainability and good governance, 319-346.

Center for Audit Quality. (2024). Fighting fraud: A shared responsibility.

Cheliatsidou, A., Sariannidis, N., Garefalakis, A., Azibi, J., & Kagias, P. (2023). The international fraud triangle. Journal of Money Laundering Control, 26(1), 106-132.

Counter Fraud Authority. (2024). Occupational fraud report insights.

Deloitte. (2025). Fraud evolution and organizational response strategies.

Đukić, T., Pavlović, M., & Grdinić, V. (2023). Uncovering Financial Fraud: The Vital Role of Forensic Accounting and Auditing in Modern Business Practice. Economic Themes, 61(3).

Hantzmon Wiebel LLP. (2025). ACFE fraud report key findings.

Haddad, H. O. S. S. A. M., Alharasis, E. E., Fraij, J., & Al-Ramahi, N. M. (2024). How do innovative improvements in forensic accounting and its related technologies sweeten fraud investigation and prevention. WSEAS Transactions on Business and Economics, 21, 1115-1141.

Hossain, M. Z. (2026). Emerging trends in forensic accounting: Data analytics, cyber forensic accounting, cryptocurrencies, and blockchain technology for fraud investigation and prevention. Journal of Artificial Intelligence and Technological Development, 2(2), 183-208.

Honigsberg, C. (2020). Forensic accounting. Annual Review of Law and Social Science, 16(1), 147-164.

Kaur, B., Sood, K., & Grima, S. (2023). A systematic review on forensic accounting and its contribution towards fraud detection and prevention. Journal of Financial Regulation and Compliance, 31(1), 60-95.

KPMG. (2025). Fraud and white-collar crime trends.

Kranacher, M. J., & Riley, R. (2019). Forensic accounting and fraud examination. John Wiley & Sons.

Ma, X., & Wu, D. (2025). Financial Fraud Litigation and Forensic Accounting. In Financial Fraud Detection Using Machine Learning (pp. 57-62). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-95-0840-2_5

Sánchez-Aguayo, M., Urquiza-Aguiar, L., & Estrada-Jiménez, J. (2021). Fraud detection using the fraud triangle theory and data mining techniques: A literature review. Computers, 10(10), 121.

Sekhar, S. C., Sushmita, S., & Srinidhi, K. (2025) Unmasking Financial Deceit: A Study on Forensic Accounting in Fraud Detection. https://doi.org/10.55248/gengpi.06.1225.4051

Shpachuk, V., Markova, O., & Adamyk, B. (2026). AI-driven financial fraud: key risks and legal protections for financial institutions. Journal of Banking Regulation, 27(1), 6.

Wang, Y., Chiu, T., & Vasarhelyi, M. A. (2025). Financial statement fraud prediction system: A deep learning-based approach. Journal of Forensic Accounting Research, 10(1), 239-259.

Zioviris, G., Kolomvatsos, K., & Stamoulis, G. (2024). An intelligent sequential fraud detection model based on deep learning. The Journal of Supercomputing, 80(10), 14824-14847.

Zangana, H. M., Suryawati, R. F., Mustafa, F. M., & Vitianingsih, A. V. (2026). AI in Forensic Accounting: Detecting Anomalies and Financial Fraud Through Intelligent Systems. In AI in Digital Forensics and Cybercrime Investigation: Methods, Ethics, and Emerging Technologies (pp. 125-162). IGI Global Scientific Publishing.

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Published

27-05-2026

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Section

RESEARCH ARTICLE

How to Cite

Asilaza, E. (2026). The Role of Forensic Accounting in Detecting and Preventing Corporate Financial Fraud. International Journal of Multidisciplinary Research and Innovation Studies, 4(1). https://scholarlyresearchpublications.org/IJMRIS/article/view/7