Detection of Financial Statement Fraud on Annual Reports: A Fraud Application Model to Non-Timely Filing of Indonesian Public Listed Companies
Few public listed companies in Indonesiawere exposed a trade suspension as consequence of non-timely filing financial statement. The tendency of a recurrence non-timely filing financial statement founds in public listed company in 2013. This study examines the characteristics of variable in financial statement that affect significantly with non-timely filing financial statement and calculate the impact of risk based on binary classification metrics. In this analysis, Logistic Regression is performed to identify non-timely filling financial statement and timely filing financial report submitted to Indonesia Stock Exchange. There are 56 public listed companies as subjects in this study where 26 companies are non-timely filing of financial statement, and the other 30 companies are timely filing financial statement.This research has found a new model that suitable in factor detection on causing the tendency of non-timely filing financial statement that could fit in current business specially on public company in Indonesia.
Keywords - BinaryClassification Metrics, Fraud Detection, Logistic Regression, Non-timely Filling, Suspension