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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eadjustments in valuations associated with the “restated” financial information. Farber (2005) finds<br />
that only firms that improve their corporate governance (e.g., by increasing the percentage <strong>of</strong> outside<br />
members on the board) experience improved stock market performance in the three-year post-<br />
detection period after controlling for changes in operating performance.<br />
Auditors: Feroz et al. (1991) find that large auditors <strong>of</strong> the AAER firms are less likely to be censured<br />
by the SEC and suffer lighter penalties than small auditors. They suggest two explanations: large<br />
auditors are associated with less extreme cases and/or large auditors can afford more resources to<br />
negotiate with the SEC to lower penalties. Bonner, Palmrose, and Young (1998) document that<br />
auditors face litigation in 38 percent <strong>of</strong> AAER firms in their sample. The litigation risk for auditors<br />
is higher when the type <strong>of</strong> fraud occurs frequently across companies (i.e., common frauds) or when<br />
the fraud is caused by fictitious transactions.<br />
Conclusions based on studies <strong>of</strong> AAERs<br />
AAER firms would seem to be a powerful place for researchers to investigate incentives to<br />
manipulate <strong>earnings</strong>, but the evidence on the determinants <strong>of</strong> AAERs, and in particular on the role <strong>of</strong><br />
governance in monitoring manipulations, is mixed and weak. One explanation is large type II errors.<br />
That is, firms that manage <strong>earnings</strong> for similar reasons are not identified by the SEC or firms manage<br />
<strong>earnings</strong> just within the boundaries <strong>of</strong> GAAP and avoid SEC selection. This problem inhibits proper<br />
matching. Other explanations include (i) small sample sizes that lack power, (ii) differences in<br />
sample composition over time; or (iii) endogeneity <strong>of</strong> contracting variables (e.g., Armstrong et al.,<br />
2009).<br />
There is consistent and compelling evidence that investors react negatively to discovery <strong>of</strong> a<br />
misstatement, but it is less clear how to interpret this result. Keeping in mind that most samples <strong>of</strong><br />
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