Detecting Financial Statement Frauds in Malaysia: Comparing the Abilities of Beneish and Dechow Models
Detecting Financial Statement Frauds in Malaysia: Comparing the Abilities of Beneish and Dechow Models
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检测马来西亚的财务报表欺诈：比较 Beneish 模型和 Dechow 模型的能力
DOI：
10.17576/ajag-2016-07-05
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Mohd Mohid Rahmat
中科院分区：
文献类型：
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作者：
Shabnam Fazli Aghghaleh;Z. Mohamed;Mohd Mohid Rahmat
在当前的经济和金融格局中，财务报表欺诈（FSF）正在成为猖獗的现象。遏制 FSF 的方法之一是尽早发现它们，以便采取预防措施。本研究旨在实证研究两种基于金融的模型（即 Beneish 的 M 分数和 Dechow 的 F 分数）检测和预测马来西亚公司 FSF 的能力。此外，本研究还比较了两个模型之间的准确性（包括错误率）。本研究使用配对的马来西亚上市公司 2001 年至 2014 年的财务数据。研究结果表明，Beneish 模型和 Dechow 模型都能有效预测欺诈性和非欺诈性公司，平均准确率分别为 73.17% 和 76.22%。结果还表明，Dechow F-score 模型在预测欺诈案件的灵敏度方面优于 Beneish M-score 模型，分别为 73.17% 和 69.51%。在效率方面，Dechow F Score 模型的 II 类错误（26.83%）低于 Beneish M Score 模型（30.49%）。这一发现表明，Dechow F Score 模型是一个更好的模型，监管机构可以使用它来检测马来西亚公司中的 FSF。
Financial statement frauds ( FSF ) are becoming rampant phenomena in current economic and financial landscapes. One of the ways to curb FSF is to detect them early so that preventive measures can be applied. This study aims to empirically investigate the abilities of two financial-based models namely the Beneish’s M-score and Dechow’s F-score, to detect and predict FSF for Malaysian companies. In addition, this study compares the accuracy including the error rates between the two models. Financial data of Malaysian listed companies from 2001 to 2014 are used using a matched pair in this study. The findings reveal that both Beneish and Dechow models are effective in predicting both the fraudulent and non-fraudulent companies with average accuracy at 73.17% and 76.22%, respectively. The results also indicate that Dechow F-score model outperforms the Beneish M-score model in the sensitivity of predicting fraud cases with 73.17% compared to 69.51%. On the efficiency aspect, the Dechow F Score model is found to have lower type II error (26.83%) than Beneish M Score model (30.49%). This finding suggests that Dechow F Score model is a better model that can be used by the regulators to detect FSF among companies in Malaysia.