We find that analysts' forecast errors are predicted by past accounting accruals (adjustments to cash flows to obtain reported earnings) among both equity issuers and nonissuers. Analysts are more optimistic for the subsequent four years for issuers reporting higher issue-year accruals. The predictive power is greater for discretionary accruals than nondiscretionary accruals and is independent of the presence of an underwriting affiliation. Predicted forecast errors from accruals significantly explain the long-term under performance of new issuers. The predictability of forecast errors among nonissuers suggests that analysts' credulity about accruals management more generally contributes to market inefficiency.

[We present a model in which some of the firm's information ("news") can be disclosed verifiably and some information ("type") cannot, to show that some firms may voluntarily withhold good news and disclose bad news. We describe an equilibrium in which high-type firms withhold good news and disclose bad news, whereas low-type firms disclose good news and withhold bad news. Under some parameter values, this equilibrium exists when other more traditional equilibria are ruled out by standard equilibrium refinements. The model explains some otherwise anomalous empirical evidence concerning stock price reactions to disclosure, provides some new empirical predictions, and suggests that mandatory disclosure requirements may have the undesirable consequence of making it more difficult for firms to reveal information that cannot be disclosed credibly.]

I describe a brief summary of the development of databases used in accounting research and discuss the research questions addressed in traditional databases and ‘new’ databases. The new data include online searches such as Google Trends data; textual data from corporate disclosures, analyst reports, conference call transcripts, earnings press releases, and news media articles; social network and social media data from Twitter, LinkedIn, Glassdoor, and other data. New data holds promise for research on attention or cognitive processing constraints; on tone/valence, affect, deceptiveness and credibility for capital market and financial reporting outcomes. I examine the econometric challenges of new data and suggest the potential for new data to offer new auditing tools to detect poor financial reporting, which will help to discourage earnings management.

The article presents information on the effect of auditor changes on security prices in both a mechanical decision rule and in the possibility that an adverse audit opinion may lead to dismissal. The analysis implies that the stock price response to the announcement of an auditor change depends on the preswitch audit opinion. The author contends that his research proves auditor switches can be good for investors and that even when they are costless, and there is no collusion between auditor and firm, market reaction can be negative.

[An auditor's reputation lends credibility to the earnings report that he audits. An unresolved issue is whether auditor size is correlated with auditor quality, where a high-quality auditor is defined as one who brings about more credible earnings reports. According to basic intuition and a modified Holthausen-Verrecchia (1988) model, investors' response to an earnings surprise will depend on the perceived credibility of the earnings report. In this study, we examine whether the earnings response coefficient (ERC) differs between Big Eight (B8) and non-Big Eight (NB8) audited firms. This provides a test of the joint hypotheses that auditor size is a proxy for auditor credibility and of the modified H-V model. Consistent with the joint hypotheses, we find that the ERCs of Big Eight clients are statistically significantly higher than for non-Big Eight clients. The result obtains in both a matched sample of firms paired according to industry membership, and a switch sample of firms grouped according to shifts from and to B8 and NB8 auditors. Furthermore, the result is robust with respect to the inclusion of other explanatory factors for ERC that have been suggested by previous studies: growth and persistence, risk, firm size, and predisclosure information environment.]

[We test whether and how equity overvaluation affects corporate financing decisions using an ex ante misvaluation measure that filters firm scale and growth prospects from market price. We find that equity issuance and total financing increase with equity overvaluation, but only among overvalued stocks, and that equity issuance is more sensitive than debt issuance to misvaluation. Consistent with managers catering to maintain overvaluation and with investment-scale economy effects, the sensitivity of equity issuance and total financing to misvaluation is stronger among firms with potential growth opportunities (low book-to-market, high R&D, or small size) and high share turnover.]

[We find a positive association between short selling and accruals during 1988—2009, and that asymmetry between the up- and downsides of the accrual anomaly is stronger when constraints on short arbitrage are more severe (low availability of loanable shares as proxied by institutional holdings). Short arbitrage occurs primarily among firms in the top accrual decile. Asymmetry is present only on NASDAQ. Thus, there is short arbitrage of the accrual anomaly, but short-sale constraints limit its effectiveness.]

We provide a model in which a single psychological constraint, limited attention, explains both under- and overreaction to different earnings components. Investor neglect of earn-ings induces post-earnings announcement drift and the profit anomaly. Neglect of earnings components causes accrual and cash flow anomalies. The model offers empirical implica-tions relating the strength of earnings-related anomalies to the forecasting power of current earnings-related information for future earnings, investor attentiveness, and the volatilities of and correlation between accruals and cash flows. We also show that, owing to atten-tion costs, in equilibrium not all investors choose to attend to earnings or its components. (JEL G12, G14, M41, M43) Market reactions to earnings and earnings components present a striking puzzle. Stock prices on average underreact to earnings surprises (post-earnings an-nouncement drift), but overreact to the operating accruals component of earn-ings.1 Earnings- and accruals-related patterns of return predictability are often referred to as “anomalies, ” “under- ” and “overreaction, ” or reflecting investor “optimism, ” “pessimism, ” or “naı̈veté. ” Such labels offer little guidance as to

Recent studies propose that limited investor attention causes market underreactions. This paper directly tests this explanation by measuring the information load faced by investors. The investor distraction hypothesis holds that extraneous news inhibits market reactions to relevant news. We find that the immediate price and volume reaction to a firm's earnings surprise is much weaker, and post-announcement drift much stronger, when a greater number of same-day earnings announcements are made by other firms. We evaluate the economic importance of distraction effects through a trading strategy, which yields substantial alphas. Industry-unrelated news and large earnings surprises have a stronger distracting effect.

Issuers of initial public offerings (IPOs) can report earnings in excess of cash flows by taking positive accruals. This paper provides evidence that issuers with unusually high accruals in the IPO year experience poor stock return performance in the three years thereafter. IPO issuers in the most “aggressive” quartile of earnings managers have a three-year aftermarket stock return of approximately 20 percent less than IPO issuers in the most “conservative” quartile. They also issue about 20 percent fewer seasoned equity offerings. These differences are statistically and economically significant in a variety of specifications.