Testing the Beneish Model Relevance in Case of Entities with Confirmed Reputational Risk

Ioan-Ovidiu Spătăcean
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引用次数: 3

Abstract

Abstract The Beneish model is a useful tool for assessing the potentially fraudulent behaviour of an entity that could resort to misstated financial reporting by manipulating earnings. Tarjo ---amp--- Herawati (2015) concluded that “the M-score of the Beneish model was generally able to detect financial fraud”, following a study on 35 listed companies that were confronted with allegations of fraud in the period 2001-2014, by accessing the sanctions database applied to companies of public interest (issuers) published by the Financial Supervisory Authority. Also, Ahmet Ozcan (2018) stated that the Beneish model “brings effective value in the analysis of the quantitative characteristics of falsified financial statements”, a conclusion based on a concentrated research on a sample of 174 firms over the period 2005-2017. However, the construction of this model was not oriented for the financial services industry, therefore the studies referred to above do not include any investment firms. Our research aims to assess the relevance of the use of the Beneish model to entities involved in scandals on fraudulent or suspected distorted financial reporting operations (Romcab, 2017 and Harinvest, 2013) in order to Test the Beneish model’s validation capability. On the basis of the conclusions obtained, it can be accepted that the applicability of the model is validated for the entities examined.
声誉风险确认下的贝尼什模型相关性检验
贝尼什模型是一个有用的工具,用于评估一个实体的潜在欺诈行为,该实体可能通过操纵收益而诉诸错报财务报告。Tarjo -amp- Herawati(2015)通过访问金融监管局发布的适用于公共利益公司(发行人)的制裁数据库,对2001-2014年期间面临欺诈指控的35家上市公司进行了研究,得出“Beneish模型的M-score通常能够检测到财务欺诈”的结论。此外,Ahmet Ozcan(2018)指出,Beneish模型“在分析伪造财务报表的数量特征方面带来了有效价值”,这一结论是基于对2005-2017年期间174家公司样本的集中研究得出的。然而,这个模型的构建并不是面向金融服务业的,因此上述研究没有包括任何投资公司。我们的研究旨在评估使用Beneish模型与涉及欺诈或涉嫌扭曲财务报告业务丑闻的实体的相关性(Romcab, 2017年和Harinvest, 2013年),以测试Beneish模型的验证能力。根据所得的结论,可以认为该模型对所检查的实体的适用性得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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