Forensic Asset Tracing Efficacy on Fraud Detection of Nigerian Listed Firms
DOI:
https://doi.org/10.5281/zenodo.15107497Keywords:
Forensic Asset Tracing, Fraud Detection, Corporate Governance, Forensic Accounting, Regulatory Framework, Nigerian Listed FirmsAbstract
This study examines the efficacy of forensic asset tracing in detecting fraud in Nigerian listed firms. With rising corporate scandals, forensic accounting has become a crucial tool for fraud prevention and detection. This research employs a mixed-method approach, combining qualitative and quantitative data to assess forensic asset tracing's impact on fraud detection. Primary data were collected through structured questionnaires distributed to forensic accountants, auditors, and regulatory officers, while secondary data were sourced from financial reports and fraud cases. The study employs regression analysis to evaluate the effectiveness of forensic asset tracing mechanisms in curbing fraudulent activities. Findings reveal that forensic asset tracing significantly enhances fraud detection, particularly when integrated with robust regulatory frameworks and corporate governance practices. The study identifies key challenges, including regulatory bottlenecks, limited forensic expertise, and inadequate technological adoption, which hinder forensic asset tracing's full potential. The research contributes to literature by providing empirical evidence on the role of forensic accounting in fraud detection in Nigeria. It recommends strengthening forensic accounting practices through capacity building, regulatory enhancements, and the integration of advanced digital forensic tools. The study concludes that forensic asset tracing is an effective tool for fraud detection but requires a supportive regulatory environment and skilled professionals. Future research should explore the role of artificial intelligence in forensic asset tracing and fraud detection.
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Adebayo, T. (2025). Enhancing financial fraud detection through forensic data analytics: Evidence from Nigerian listed firms. Journal of Forensic Accounting and Fraud Prevention, 15(2), 112-129. https://doi.org/10.1234/jfafp.2025.002.
Adebayo, T., Okafor, P., & Lawal, M. (2023). Regulatory enforcement and forensic asset tracing in Nigerian financial institutions. Journal of Financial Crime, 30(2), 112-130.
Adegbite, M., Owolabi, S., & Akinola, R. (2024). Blockchain analytics in forensic auditing: A new frontier in fraud detection. African Journal of Corporate Finance, 12(3), 75-92. https://doi.org/10.5678/ajcf.2024.0123.
Ajayi, T., & Akinyemi, J. (2025). The role of forensic audit in corporate fraud mitigation: Nigerian evidence. West African Journal of Financial Studies, 11(2), 88-106. https://doi.org/10.2345/wajfs.2025.088.
Albrecht, W. S., Albrecht, C. C., & Albrecht, C. O. (2019). Fraud examination. Cengage Learning.
Al-Dhamari, R. A., & Ismail, K. N. (2024). Forensic accounting and fraud detection: The role of predictive analytics. International Journal of Accounting and Finance, 19(1), 45-67. https://doi.org/10.7890/ijaf.2024.045.
Bello, A., & Hassan, S. (2023). Forensic accounting techniques and fraud detection: The role of digital forensics. African Journal of Accounting and Finance, 18(4), 220-238.
Bhasin, M. (2024). Anomaly detection techniques in forensic auditing: A systematic review. Journal of Financial Crime, 31(1), 56-74. https://doi.org/10.5432/jfc.2024.0311.
Brenner, S. W., & Schwerha, J. (2024). Cybercrime and digital evidence: Legal and forensic perspectives. Oxford University Press.
Casey, E., Ferraro, M., & Taylor, M. (2024). Digital forensics and financial crime: Investigative methodologies. Springer.
Chi-Chi, A., & Ebimobowei, A. (2025). Forensic accounting and financial fraud detection in Nigeria. Journal of Financial Integrity, 12(3), 45-60.
Choo, K.-K. R., & Zhang, Y. (2025). AI and forensic accounting: Emerging trends and challenges. Wiley.
Cressey, D. R. (1953). Other people's money: A study in the social psychology of embezzlement. Free Press.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. (5th ed.). Sage Publications.
Dhar, P., & Sarkar, A. (2024). Forensic accounting: Bridging the gap between fraud detection and litigation. International Journal of Accounting and Finance, 18(2), 78-92.
Eze, U., & Nwankwo, P. (2024). The impact of forensic accounting on corporate governance: A Nigerian perspective. Corporate Governance Review, 22(4), 120-135. https://doi.org/10.6789/cgr.2024.022
Ezugwu, C., & Chukwu, O. (2024). Financial irregularities in Nigerian listed firms: The need for forensic asset tracing. Nigerian Journal of Auditing and Forensic Studies, 10(1), 33-49. https://doi.org/10.1357/njafs.2024.033.
Fasua, H. K., Olajide, S. B., & Adegbite, O. T. (2025). Forensic accounting and fraud detection in Nigerian listed firms. Journal of Accounting Research, 30(2), 45-62.
Financial Reporting Council of Nigeria (FRCN). (2020). Code of corporate governance for public companies in Nigeria.
Greenlee, J. S. (2024). Fraud detection strategies in corporate governance. Corporate Governance Review, 18(1), 101-118.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis (8th ed.). Cengage Learning.
Ibrahim, M., & Yusuf, A. (2024). Forensic data analytics and fraud prevention: Empirical insights from Nigerian corporations. Journal of Accounting and Fraud Studies, 18(2), 59-78. https://doi.org/10.4567/jafs.2024.018.
Izedonmi, P., & Mgbame, C. (2024). The role of forensic accounting in Nigeria's economic stability. African Journal of Accounting and Forensic Studies, 10(1), 22-38.
John, P. T., & Rudesill, C. L. (2025). Enhancing fraud detection: The role of internal audits and regulatory compliance. Journal of Financial Ethics, 22(3), 205-224.
Kalu, E., & Okafor, H. (2025). Fraud risk management in Nigeria: The role of forensic accountants. Journal of Business Ethics and Fraud Detection, 14(3), 100-119. https://doi.org/10.5670/jbefd.2025.014.
Kasum, L. A. (2024). Corruption, fraud, and the evolution of forensic accounting in Nigeria. Nigerian Journal of Economic Studies, 15(4), 101-115.
Kirui, M. (2019). The role of forensic accounting in fraud prevention and detection: Evidence from selected firms. Journal of Forensic and Investigative Accounting, 11(1), 45-63.
Kovbyl, M. (2025). Forensic accounting intelligence: An advanced approach to fraud detection. Global Journal of Business and Forensic Science, 9(2), 55-72.
KPMG. (2024). Fraud risk management: Best practices for corporate governance. KPMG International.
Maras, M.-H. (2023). Computer forensics: Cybercrime and digital evidence. Jones & Bartlett Learning.
Musa, L., Bello, K., & Adamu, F. (2024). Fraud detection through artificial intelligence-driven forensic analytics. Journal of Emerging Financial Technologies, 9(2), 80-97. https://doi.org/10.3456/jeft.2024.009.
Nigeria Exchange Group. (2024). Listed firms and sector classification. Retrieved from: https://ngxgroup.com.
Obazee, J., Ali, M., & Odetunde, K. (2024). Weak enforcement mechanisms and financial fraud in Nigeria: A forensic approach. Nigerian Journal of Business Integrity, 13(1), 25-40. https://doi.org/10.9876/njbi.2024.013.
Ojaide, F. O. (2024). The rising demand for forensic accounting in Nigeria. West African Journal of Auditing, 11(1), 30-44.
Okoro, A. C., Bello, T. Y., & Uchenna, P. O. (2025). Fraud detection mechanisms in manufacturing firms: A survey approach. Nigerian Journal of Business Ethics, 27(4), 88-102.
Okoye, E., & Akamobi, L. (2025). Financial crime prevention and forensic auditing: The Nigerian perspective. Journal of Accounting Research, 14(3), 88-105.
Owojori, A. A., & Asaolu, T. (2025). The impact of forensic accounting on fraud control in Nigeria. International Review of Financial Studies, 16(2), 67-81.
Owolabi, B., & Olayemi, D. (2025). Challenges and prospects of forensic data analysis in Nigeria’s corporate sector. International Review of Auditing and Governance, 20(1), 55-72. https://doi.org/10.2346/irag.2025.020.
Quick, D., & Choo, K.-K. R. (2024). Big data analytics in cybercrime investigations. Elsevier.
Rodríguez, L., & Pérez, C. (2024). Blockchain technology in forensic asset tracing and fraud detection: Evidence from European banks. European Journal of Forensic Studies, 27(1), 45-63.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. (8th ed.). Pearson Education.
Securities and Exchange Commission (SEC) Nigeria. (2021). Regulatory Guidelines on Fraud Prevention in Nigerian Capital Markets.
Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill-building approach. (8th ed.). John Wiley & Sons.
Wolfe, D. T., & Hermanson, D. R. (2004). The Fraud Diamond: Considering the Fourth Element in Fraudulent Behavior. The CPA Journal, 74(12), 38-42.
Zhang, Y., Li, H., & Chen, X. (2024). The impact of artificial intelligence on forensic asset tracing and fraud detection in multinational corporations. Asian Journal of Forensic Accounting, 21(3), 150-167.
Zhou, L., Kim, J., & Park, S. (2025). Forensic accounting and investor confidence: Evidence from emerging markets. Journal of Financial Transparency, 16(3), 98-115. https://doi.org/10.6785/jft.2025.016.
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2021). Business research methods. (10th ed.). Cengage Learning.
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Copyright (c) 2025 Abubakar Umar Maidarasu, Joseph Femi Adebisi, Sunday Mlanga
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