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Understanding earnings quality - MIT Sloan School of Management

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<strong>earnings</strong> <strong>quality</strong> <strong>of</strong>ten suggest that the study’s findings are robust to alternative specifications <strong>of</strong><br />

<strong>earnings</strong> <strong>quality</strong>. The results are consistent across the proxies, but we question whether they should<br />

be.<br />

In summary, our wide-ranging finding across all the EQ proxies is that we have not<br />

adequately separated the unobservable dimension <strong>of</strong> <strong>quality</strong> related to the fundamental <strong>earnings</strong><br />

process from the ability <strong>of</strong> the accounting measurement process to contribute to the <strong>quality</strong> <strong>of</strong><br />

reported <strong>earnings</strong>. The research attempts to separate abnormal accruals from normal accruals, but<br />

the distinction between the normal accruals and X as a source <strong>of</strong> reported <strong>earnings</strong> <strong>quality</strong> is still an<br />

open question.<br />

In the remainder <strong>of</strong> this section, we summarize our specific findings on each individual EQ<br />

proxy (Sections 2.2.1 through 2.2.3). Detailed discussions <strong>of</strong> the papers and justification for the<br />

conclusions are discussed in the survey section noted. Exhibit 1 provides an overview <strong>of</strong> each<br />

proxy, its strengths and its weakness, and how fundamentals and measurement error in the<br />

accounting system are likely to affect the proxy. In Section 2.3, we outline additional conclusions<br />

based on our survey <strong>of</strong> the entirety <strong>of</strong> the network <strong>of</strong> studies, with some suggestions <strong>of</strong> future<br />

research opportunities.<br />

2.2 Specific findings on each EQ proxy<br />

2.2.1 Properties <strong>of</strong> <strong>earnings</strong><br />

Earnings persistence and accruals (Section 3.1.1): A considerable number <strong>of</strong> studies provide<br />

evidence on the ability <strong>of</strong> reported <strong>earnings</strong>, and various components <strong>of</strong> <strong>earnings</strong>, to predict future<br />

cash flows relative to cash flows or other <strong>earnings</strong> metrics. Another set <strong>of</strong> studies examines <strong>earnings</strong><br />

persistence directly, typically using an approach that measures the incremental contributions <strong>of</strong><br />

9

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