1Abubakar Umar Maidarasu, Nigeria Police Academy, Wudil, Kano State, Nigeria
2Joseph Femi Adebisi, Department of Auditing and Forensic Accounting, College of Private Sector Accounting, ANAN University, Kwall, Plateau State, Nigeria
3Sunday Mlanga, Department of Auditing and Forensic Accounting, College of Private Sector Accounting, ANAN University, Kwall, Plateau State, Nigeria
*Corresponding Author: Abubakar Umar Maidarasu, Nigeria Police Academy, Wudil, Kano State, Nigeria, Email: abbanumar1@polac.edu.ng
Online Published on 25 June, 2025.
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.
Forensic Asset Tracing, Fraud Detection, Corporate Governance, Forensic Accounting, Regulatory Framework, Nigerian Listed Firms