Abstract

This study identifies the contemporaneous risk factors empirically related to financial statement fraud. Extant research identifies a number of individual factors related to fraud in various settings. In this study we examine an array of potential fraud risk factors in order to identify a comprehensive set of coexistent factors that are consistently linked to the incidence of financial statement fraud. Further, using the identified fraud risk factors, we construct a robust fraud prediction model. The analysis yields a number of significant factors related to pressure and opportunity. Using the significant fraud risk factors we then construct a fraud prediction model. The model correctly classifies fraud and no-fraud firms approximately 69.77 percent of the time, a substantial improvement over other fraud prediction models.

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