International Journal of Research and Innovation in Applied Science (IJRIAS)
Forensic Risk Assessment and Fraud Detection in Nigerian Listed Firms
Published January 31, 2026 • Vol. 11, Issue 1, pp. 457–468Open Access
DOI: 10.51584/IJRIAS.2026.11010039
Abstract
This study investigates the impact of risk assessment on fraud detection in Nigerian listed companies. Fraudulent activity seriously threatens the existence of corporations, the transparency of their financial statements, and the trust of investors. Due to the growing complexity of corporate fraud, risk assessment has emerged as a crucial tool in its detection. The study used statistical methods and a quantitative research design. The finding indicate that risk assessment and fraud detection are significantly correlated, suggesting that using forensic risk assessment tools improves the capacity to detect and stop fraud. The findings highlight how important it is for businesses to incorporate forensic risk assessment into their risk management plan. Future research might evaluate various regulatory and anti-graft agencies and examine industry-specific risk assessment tools.
Keywords: forensic risk assessment, fraud detection, transparency, regulatory compliance, audit
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 1 |
| Pages | 457–468 |
| Publication date | January 31, 2026 |
| DOI | 10.51584/IJRIAS.2026.11010039 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Abubakar Umar Maidarasu, Ibrahim Hussaini, Usman Ahmed Kumo, & Ibrahim Saifuddeen (2026). Forensic Risk Assessment and Fraud Detection in Nigerian Listed Firms. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(1), 457-468. https://doi.org/10.51584/IJRIAS.2026.11010039
BibTeX
@article{Abubakar2026,
title = {Forensic Risk Assessment and Fraud Detection in Nigerian Listed Firms},
author = {Abubakar Umar Maidarasu and Ibrahim Hussaini and Usman Ahmed Kumo and Ibrahim Saifuddeen},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {1},
pages = {457--468},
year = {2026},
doi = {10.51584/IJRIAS.2026.11010039},
publisher = {RSIS International}
}