Application of Computed Financial Ratios in Fraud Detection Modelling: A Study of Selected Banks in Nigeria

The study examines the application of computed financial ratios in fraud detection modeling using existing Financial Ratio Models with a view to detecting their capabilities in application in Nigerian banking system. Data were collected from published accounts and reports of 20 sampled banks between 2004 -2008, a 5 year period- preceding year and the fraud year. Logistic Regression was used in analyzing the collected data. The study revealed 16 significant ratios out of 29 financial ratios used for the study as being capable of aiding detection of fraud in the financial statements of banks. Consequently, it is recommended that auditors who are eager to look into the possibility of detecting false financial statements can adopt it and save endless time in search for possible red flags. [PUBLICATION ABSTRACT]