Determinant Analysis of Fraudulent Financial Statements in Perspective of Fraud Hexagon Theory and Covid-19 (Empirical Study of Manufacturing Companies in the Goods and Consumption Sector Listed on the IDX in 2018-2021)

According to Statement of Financial Accounting (SFAC) No. 1, users of financial statements have a considerable worry regarding profit information in the company's financial statements when evaluating performance and the company's earning potential in the future. The purpose of this study was to examine the effect of external pressure, nature of industry, rationalization, capability, arrogance, collusion, and covid-19 on fraudulent financial statements. The research sample is a manufacturing company in the goods and consumption sector which is listed on the Indonesia Stock Exchange for the 2018-2021 period. Sampling in this study uses a purposive sampling method. The number of samples is 46 companies per year, with the amount of data studied being 147. This study's analysis method makes use of multiple linear regression analysis. M-Score for Beneish, this model was created using logit regression to predict false financial statements (fraud). The origin the following variables can be identified based on the outcomes of the data processing shown above: Variable H2 is approved since the nature of the industry has a considerable favorable impact on false financial statements. This occurs because businesses with a lot of receivables are vulnerable to manipulation.