The Ability of the Beneish M-Score To Detect the Trends of Fraud in the Indonesian Sharia Stock Index

Abstract

The purpose of this study is to determine the level of ability of the Beneish M-Score in detecting financial statement fraud tendencies. This study uses a quantitative approach with logistic regression analysis techniques. The results of this study provide empirical evidence that is different from research on manufacturing companies, state-owned companies, banking, mining, non-financial companies, property companies, real estate and building construction. The contribution of the empirical results of this study shows that overall the Beneish M-Score model is unable to detect the tendency of fraudulent financial statements in Islamic companies. DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, and TATA has no effect on fraudulent financial statements in sharia companies.