Forensic Accounting and Money Laundering Detection of Listed Commercial Banks in Nigeria
DOI:
https://doi.org/10.33003/fujafr-2026.v4i2.361.216-227Keywords:
Forensic accounting, money laundering detection, fraud investigation, transaction tracing, listed commercial banksAbstract
Purpose: This study examined the effect of forensic accounting techniques on money laundering detection in listed commercial banks in Nigeria from 2015 to 2025. Specifically, the study investigated the influence of financial statement analysis, data mining and digital analysis, fraud investigation, and transaction tracing on money laundering detection.
Methodology: The study adopted a quantitative research design and relied on secondary data obtained from the annual reports and financial statements of selected listed commercial banks in Nigeria. Data collected were analyzed using descriptive statistics, correlation analysis, and multiple regression techniques.
Results and Conclusion: The findings revealed that financial statement analysis, data mining and digital analysis, fraud investigation, and transaction tracing have significant effects on money laundering detection in listed commercial banks in Nigeria. The study concluded that forensic accounting techniques significantly improve the detection and prevention of money laundering activities in the Nigerian banking sector.
Implication of Findings: The study implies that the adoption of advanced forensic accounting practices enhances financial transparency, strengthens internal control systems, and improves the ability of banks to detect suspicious financial transactions and financial crimes.
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