Hexagon Fraud Analysis in Detecting Fraudulent Financial Reporting
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https://doi.org/10.14419/44e4sx96
Received date: November 18, 2025
Accepted date: December 26, 2025
Published date: February 17, 2026
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Fraudulent Financial Reporting; Pressure; Opportunity; Rationalization; Capability; Arrogance; Collusion -
Abstract
This study aims to analyze the influence of factors derived from the fraud hexagon theory pressure (financial stability, external pressure, financial targets), opportunity (audit committee, ineffective monitoring), rationalization (change of auditors), capability (change of directors), arrogance (CEO education, CEO duality), and collusion (related party transactions) on the likelihood of fraudulent financial reporting (FFR). Adopting a quantitative approach, this research utilizes numerical data and statistical analysis to test the proposed hypotheses, examining the relationships between these variables. The results of the logistic regression analysis reveal that several factors have a significant positive impact on the probability of FFR. Specifically, financial stability, financial targets, change of auditors, change of directors, and related party transactions were found to significantly increase the likelihood of fraudulent reporting. Conversely, external pressure, the presence of an audit committee, ineffective monitoring, CEO education, and CEO duality did not demonstrate a statistically significant influence on FFR in this study. The implications for companies are substantial. These findings underscore the critical need for robust corporate governance and vigilant board oversight. Companies should carefully monitor high-pressure environments driven by aggressive financial targets and scrutinize significant organizational changes, such as the turnover of directors or auditors, as these events may serve as red flags for potential fraud. Furthermore, establishing stricter controls and ensuring greater transparency in related party transactions are essential strategies to mitigate the risk of fraudulent financial reporting.
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How to Cite
Rahmatullah, R. S., & Rusmanto, T. . (2026). Hexagon Fraud Analysis in Detecting Fraudulent Financial Reporting. International Journal of Accounting and Economics Studies, 13(2), 220-227. https://doi.org/10.14419/44e4sx96
