Detecting Financial Statement Fraud With a New Fraud Diamond Model

The severe impact of financial statement fraud (FSF), particularly in large corporations, remains a significant challenge globally, often arising due to weak internal controls and the pressure on employees to meet financial targets. This study explores the applicability of the New Fraud Diamond Model on financial statement fraud (FSF) in energy companies listed on the Indonesian Stock Exchange (IDX) from 2019 until 2023. The sample comprises 238 companies selected through purposive sampling. The research results indicate that financial stability and financial targets positively influence FSF, while effective monitoring has a negative effect. Other variables show no significant impact. The findings provide practical implications for regulators and companies to strengthen governance mechanisms, enhance monitoring effectiveness, and align financial targets with long-term goals to mitigate fraud risks, thereby improving overall corporate accountability and financial market stability.

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Publication Details

Journal
Jurnal Proaksi
Published
2024-12-24
DOI
https://doi.org/10.32534/jpk.v11i4.6583
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Detecting Financial Statement Fraud With a New Fraud Diamond Model

Fuad Fuad, Panji M Ghiffari
Jurnal Proaksi
Imbalanced Data Classification Techniques
article

Detecting Financial Statement Fraud With a New Fraud Diamond Model

Fuad Fuad, Panji M Ghiffari
article en

Abstract

The severe impact of financial statement fraud (FSF), particularly in large corporations, remains a significant challenge globally, often arising due to weak internal controls and the pressure on employees to meet financial targets. This study explores the applicability of the New Fraud Diamond Model on financial statement fraud (FSF) in energy companies listed on the Indonesian Stock Exchange (IDX) from 2019 until 2023. The sample comprises 238 companies selected through purposive sampling. The research results indicate that financial stability and financial targets positively influence FSF, while effective monitoring has a negative effect. Other variables show no significant impact. The findings provide practical implications for regulators and companies to strengthen governance mechanisms, enhance monitoring effectiveness, and align financial targets with long-term goals to mitigate fraud risks, thereby improving overall corporate accountability and financial market stability.

Jurnal ProaksiVol. 11(4)
Diponegoro University (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Imbalanced Data Classification Techniques
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