Detecting Earnings Management Dechow, Sloan, ：检测盈余管理Dechow，Sloan，.pptVIP

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Detecting Earnings Management Dechow, Sloan, ：检测盈余管理Dechow，Sloan，.ppt

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Detecting Earnings Management Dechow, Sloan, ：检测盈余管理Dechow，Sloan，

Conclusions All of models appear well specified when applied to random sample of the firm-years The models all generate test of low power of earnings management All models reject the null hypothesis of no earnings management Modified Jones model generate the revenue –based earnings management Implications Regardless of the model used to detect earnings management Further research: develop new model with more powerful test to detect earnings management Correlation between PART ad firm performance, considered the models Consider about earnings management context SEPTIAN BAYU K. (0806479080) Detecting Earnings ManagementDechow, Sloan, Sweeney (1995) Outline Introduction Statistical Background Measuring DA Experimental Design Data Analysis Empirical Results Conclusions Implications Introduction (1) Analysis of earnings management focuses on discretionally accruals (DA) Separate total accruals to DA NDA The aim of research Finding the sophisticated model(s) to measure to detect earnings management with DA/NDA Research gap Modified Jones Model Introduction (2) Prior research DA: Healy (1995), DeAngelo (1996), Jones (1991) Accounting procedure changes: Healy (1985), Healy Palepu (1990), Sweeney (1994) Specific components of DA: McNichols Wilson (1988), DeAngelo et al (1994) Components of Discretionary Cash Flow (Dechow Sloan (1991) Statistical Background McNichols Wilson (1988) Problems: Incorrectly attributing earnings management to PART Unintentionally extracting earnings management caused by PART Low power test Measuring DA (1) The Healy model (Healy, 1985) The DeAngelo model (DeAngelo, 1986) NDAτ = TAτ-1 The Jones model (Jones, 1991) Measuring DA (2) The Modified Jones model The Industry model (Dechow Sloan, 1991) NDA τ = γ1 + γ2 median1 (TA τ) Experimental Design Randomly 1000 firm-years (1950-1991) Firm-years experiencing extreme financial performance Firm-years with accrual manipulation Expense manipulation Revenue manipulation Margin manipulation