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Fraud Financial Statement Detection: Fraud Hexagon Model Analysis in the Financial Sector Listed on the Indonesia Stock Exchange

Sari, Shinta Permata and Witosari, Diana (2022) Fraud Financial Statement Detection: Fraud Hexagon Model Analysis in the Financial Sector Listed on the Indonesia Stock Exchange. In: The 4th International Conference on Business and Banking Innovations (ICOBBI) 2022.

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Abstract

The financial sector is the main axis of the economy in Indonesia because it is the center of cash flow. This industrial sector has the highest level of vulnerability to crises. Financial sector itself is on the first rank that receives the most cyber-attacks and is on the fourth out of nine sectors in the Indonesia Stock Exchange in terms of stock performance. Research using the Fraud Hexagon Model has been carried out in various industrial sectors, but less review in the financial sector. This study aims to analyze all the factors of the Fraud Hexagon Model to detect financial statement fraud in the financial sector. The research’ sample is the financial sector companies listed on the Indonesia Stock Exchange 2017-2020. This study uses the purposive sampling method to characterize the sample and 62 companies are obtained as data. The data is analyzed using logistic regression. The results show that the pressure factors (financial stability, external pressure, and financial targets) and the opportunity factor (nature of industry) affect financial statement fraud. Meanwhile, the pressure factor (personal financial need), capability, opportunity (effective monitoring), rationalization, arrogance, and collusion does not affect financial statement fraud. Keywords: financial statement fraud, fraud hexagon, financial sector

Item Type: Conference or Workshop Item (Paper)
Subjects: 600 - TECHNOLOGY > 658 - GENERAL MANAGEMENT > 658.15 - FINANCIAL MANAGEMENT
Divisions: ICOBBI (International Conference of Business and Banking Innovations)
Depositing User: Perpustakaan Universitas Hayam Wuruk Perbanas Surabaya
Date Deposited: 22 Jun 2022 03:32
Last Modified: 28 Jun 2022 01:36
URI: http://eprints.perbanas.ac.id/id/eprint/9247

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