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| Beneish M-Score：识别盈余操纵× | 杜邦分析× | |
|---|---|---|
| 领域 | 金融学 | 金融学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1999 | 2008 |
| 提出者≠ | Messod Beneish | DuPont Corporation; Soliman |
| 类型≠ | Probabilistic forensic accounting model | Profitability decomposition framework |
| 开创性文献≠ | Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24–36. DOI ↗ | Soliman, M. T. (2008). The use of DuPont analysis by market participants. The Accounting Review, 83(3), 823–853. DOI ↗ |
| 别名 | Beneish Model, M-Score Model, Earnings Manipulation Score, Beneish M-Skoru | DuPont Decomposition, DuPont Identity, Return on Equity Decomposition, DuPont Analizi |
| 相关≠ | 3 | 2 |
| 摘要≠ | The Beneish M-Score is a statistical model developed by Messod Beneish in 1999 to identify whether a company has manipulated its reported earnings. The model combines eight financial-statement ratios into a single composite score using coefficients estimated from a probit regression on a sample of detected earnings manipulators. A score above −2.22 indicates a heightened probability of manipulation, making the M-Score a widely used tool in forensic accounting and investment due-diligence. | DuPont Analysis is a financial performance framework that decomposes Return on Equity (ROE) into three multiplicative components: net profit margin, asset turnover, and the equity multiplier. Originally developed by engineers at DuPont Corporation in the early 1920s, the method gained renewed academic prominence through Soliman (2008), who demonstrated that market participants exploit DuPont decompositions to forecast future earnings and to distinguish sustainable from transient profitability. |
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