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Understanding earnings quality - MIT Sloan School of Management

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disaggregates the working capital and other accrual components <strong>of</strong> <strong>earnings</strong> results in lower cash<br />

flow forecast errors and improved predictability (Dechow, Kothari, and Watts, 1998; Barth et al.,<br />

2001). 9<br />

3.1.1.2 The usefulness <strong>of</strong> <strong>earnings</strong> to predict future <strong>earnings</strong><br />

Research that characterizes the persistence <strong>of</strong> <strong>earnings</strong> is motivated by the assumption that<br />

more persistent <strong>earnings</strong> will yield better inputs to equity valuation models. A simple model<br />

specification estimates <strong>earnings</strong> persistence as:<br />

Earningst+1=α+β1Earningst+εt<br />

Researcher can add other financial statements elements or variables outside the financial statements<br />

(e.g., market based measures or disclosures from the footnotes) to examine to examine their<br />

incremental explanatory power to predict future <strong>earnings</strong>:<br />

Earningst+1=α+β1Earningst+β2components <strong>of</strong> financial statements or other informationt + εt<br />

If β2 is significant in either direction, then the researcher has identified a determinant <strong>of</strong><br />

future <strong>earnings</strong> that provides incremental information beyond current <strong>earnings</strong>. Alternatively,<br />

researchers can decompose <strong>earnings</strong> into its components and examine whether the components have<br />

different implications for future <strong>earnings</strong>. For example, <strong>Sloan</strong> (1996) examines two components <strong>of</strong><br />

<strong>earnings</strong>:<br />

Earningst+1=α+β1CFt+β2Accrualst+εt<br />

9 Some studies use this framework, measuring relative predictive ability, but model future <strong>earnings</strong>. These studies<br />

consistently find that special items as a subset <strong>of</strong> accruals do not improve the ability <strong>of</strong> accrual <strong>earnings</strong> to predict future<br />

<strong>earnings</strong> relative to cash based <strong>earnings</strong> (e.g., Barth et al., 2001; Dechow and Ge, 2006). Other studies model<br />

contemporaneous stock returns (Ball and Brown 1968, Dechow 1994) or market value (Penman and Sourgiannis 1998).<br />

Stock based measures generally find that accruals help improve <strong>earnings</strong> ability to reflect value (except if <strong>earnings</strong><br />

includes large write-downs or special items).<br />

29

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