Open AccessE-Fraud and Bank Performance: Empirical Evidence from Nigeria
Author(s) -
Tyona Timothy
Publication year - 2021
Publication title -
account and financial management journal
Language(s) - English
Resource type - Journals
ISSN - 2456-3374
DOI - 10.47191/afmj/v6i2.01
Subject(s) - commit , test (biology) , business , profitability index , order (exchange) , actuarial science , unit root test , empirical research , accounting , regression analysis , econometrics , economics , statistics , computer science , finance , cointegration , mathematics , paleontology , database , biology
This study examines e-fraud and bank performance: empirical evidence from Nigeria. Expo facto research design was used while time series data for the period of ten (10) years sourced from Central Bank of Nigeria (CBN) statistical Bulletin. Unit root test and correlation matrix was used as a diagnostic tests. The Augmented Dickey Fuller (ADF) test is used to test for stationarity. The results of the stationarity or unit root test show that all the variables, return on equity (ROE), Automated Teller Machine Fraud (ATF) and Online Fraud (OLF) have unit roots and are only stationary at first difference and integrated of order one I (1). The fully modified least squares regression (FMOLS) is used for the analysis. The result of the study indicates that both variables, online fraud, (OLF) and ATM fraud (ATF) show negative effect on bank performance proxied in Nigeria in line with a priori expectation. In order words, fraud and fraudulent activities impede on the profitability of the banks. Based on the results obtained from the regression and the analysis conducted, the study recommends among others that bank managers should strengthen their internal control systems at all times. The regulatory authorities should be up and doing concerning their supervisory functions. Appropriate disciplinary measures should be taken against culprits of e-frauds so as deter others with such intentions. Also, banks should hold regular trainings for their Information Technology staff to counter the activities of fraudsters that use electronic means to commit fraud.