Understanding earnings quality - MIT Sloan School of Management
Understanding earnings quality - MIT Sloan School of Management
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