
Financial statement fraud is one form of fraud that has the most damaging impact on the sustainability of the company, the stability of the financial industry, and public trust. This phenomenon is increasingly complex with increasing business pressures, financial market dynamics, and changes in accounting standards that expand the scope of managerial considerations. This study aims to provide empirical evidence regarding the influence of the six elements of the Fraud Hexagon Pressure, Opportunity, Rationalization, Ability, Ego, and Collusion on financial statement fraud in financial sector companies listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. In addition, this study examines whether accounting complexity acts as a moderating variable that can strengthen or weaken the relationship between the Fraud Hexagon and financial statement fraud. The study uses a quantitative approach with panel data regression. Model selection is carried out through the Chow and Hausman Test , which shows that Fixed The Effect Model (FEM) was the best model. The results showed that the variables Pressure (X1), Ability (X4), and Collusion (X6) had a positive and significant effect on financial statement fraud, while Opportunity (X2), Rationalization (X3), and Ego (X5) had no significant effect. Accounting complexity was not proven to be a moderating variable. These findings emphasize the importance of strengthening internal control systems and corporate governance oversight to reduce fraud risk.
Fraud Hexagon, Financial Reporting Fraud, Accounting Complexity
Fraud Hexagon, Financial Reporting Fraud, Accounting Complexity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
