Objective estimation versus subjective perceptions of earnings patterns and post‐earnings‐announcement drift

We investigate how the market's subjective estimates of autocorrelation in quarterly earnings vary with objective time‐series estimates. Our results suggest that investors increasingly underestimate the correlation as the autocorrelation level increases, and as a result, the post‐earnings‐announcement drift (PEAD) increases with the level of autocorrelation. We further show that the ability of autocorrelation to explain variation in the PEAD is robust to alternative explanations based on risk and institutional factors. Additional analysis indicates that the market's inefficiency in assessing the existence and magnitude of autocorrelation (and the related impact on PEAD) is inversely related to the richness of the information environment.     

Post‐Earnings Announcement Drift: Bounds on Profitability for the Marginal Investor

The persistence of the post‐earnings announcement drift (PEAD) leads many to believe that trading barriers prevent investors from eliminating it. We examine two factors that have not been adequately addressed by the literature: the exact timing of earnings announcements and liquidity costs. Under a wide range of timing and cost assumptions, our results leave little doubt that over our sample period the PEAD was highly profitable after trading costs. An additional incremental investor could have earned hedged‐portfolio returns of at least 14% per year after trading costs. Over our sample period, investors did indeed leave money on the table.     

Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?

Prior research has documented that arbitrage activity significantly reduces or eliminates stock market anomalies. However, if anomalies arise due to unsophisticated investors’ behavioral biases, then these same biases can also apply to unsophisticated arbitrageurs and thereby disrupt the arbitrage process. Consistent with a disruption in the arbitrage process for the post‐earnings announcement drift anomaly, I document that the historically positive autocorrelation in firms’ earnings announcement news has become significantly negative for firms with active exchange‐traded options. For these easy‐to‐arbitrage firms, the firms in the highest decile of prior earnings announcement abnormal return (prior earnings surprise), on average, underperform the firms in the lowest decile by 1.59% (1.43%) at their next earnings announcement. Additional analyses are consistent with investors learning about the post‐earnings announcement drift anomaly and overcompensating. This study suggests that unsophisticated attempts to profit from a well‐known anomaly can significantly reverse a previously documented stock return pattern.     

Yes,The Value Line Enigma Is Still Alive: Evidence from Online Timeliness Rank Changes

Beginning June 9, 2005, Value Line started announcing its Timeliness changes online at 10:00 a.m. on Thursday, one day earlier than Friday noon's post‐delivery. We confirm that the Value Line effect still exists but shifts to Thursday in the Internet era. Unlike previous findings, the next‐day abnormal return after the announcement has disappeared, suggesting that the market efficiently priced the change. We find that a portfolio upgraded from rank 5 to 4 gains the highest cumulative abnormal return of 9.07% over a 50‐day window. Finally, we find that the post‐earnings announcement drift does not explain the Value Line enigma.     

Media heterogeneity and post‐earnings announcement drift: evidence from China

This paper examines how the Chinese stock market acts differently towards state‐controlled and market‐oriented media coverage. Using a setting of post‐earnings announcement drift, we find that information from state‐controlled media enters the stock price in a timelier manner, while the message from market‐oriented media needs more time to get a response from investors. The effect is also influenced by whether the type of news coverage is good or bad. Our findings suggest that the capital market underreacts when good news is reported by the market‐oriented media.     

Investment Dynamics and Earnings‐Return Properties: A Structural Approach

We propose the standard neoclassical model of investment under uncertainty with short‐run adjustment frictions as a benchmark for earnings‐return patterns absent accounting influences. We show that our proposed benchmark generates a wide range of earnings‐return patterns documented in accounting research. Notably, our model generates a concave earnings‐return relation, similar to that of Basu [1997], and predicts that the earnings‐return concavity increases with the volatility of firms’ underlying shock processes and decreases with the level of firms’ investments. We find strong empirical support for these predictions. Overall, our evidence suggests that our proposed benchmark is useful for understanding the joint dynamics of variables of interest to accounting research (e.g., earnings, returns, investment, market‐to‐book) absent accounting influences, a necessary precondition for inferring the effects of accounting from these dynamics.     

Non‐GAAP Earnings Disclosure in Loss Firms

This study examines the incremental information in loss firms’ non‐GAAP earnings disclosures relative to GAAP earnings. Using a large sample obtained through textual analysis and hand‐collection, we posit and find that loss firms’ non‐GAAP earnings exclusions offset the low informativeness of GAAP losses for forecasting and valuation. Loss firms’ non‐GAAP earnings are highly predictive of future performance and are valued by investors, while the expenses excluded from GAAP earnings are not. Additional tests suggest that loss firms disclosing non‐GAAP profits have significantly better future performance than GAAP‐only loss firms and are not overvalued by investors. Comparing non‐GAAP earnings of profitable firms to those of loss firms, we find that loss firms’ non‐GAAP metrics are significantly more predictive and less strategic. We conclude that non‐GAAP earnings disclosures are particularly informative about loss firms and help investors disaggregate losses into components that have differential implications for forecasting and valuation.     

Dividend preference of tradable‐share and non‐tradable‐share holders in Mainland China

Comprehensive data on corporate announcements of Chinese firms allows us to examine the preference for, and determinants of, cash and stock dividends. The results indicate that Chinese public investors prefer stock dividends over cash dividends, which are preferred by large state and legal person shareholders generally. Stock dividends, which do not require an explicit cash outflow from a firm, are found to be positively related to higher earnings, supporting the signalling hypothesis of dividend policy. In an imperfect market, these results have some implications for government regulation of financial markets.     

Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years

We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post–Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].     

Management by the Numbers: A Formal Approach to Deriving Informational and Distributional Properties of “Unmanaged” Earnings

We explore the theoretical relation between earnings and market returns as well as the properties of earnings frequency distributions under the assumption that managers use unbiased accounting information to sequentially decide on real options their firms have and report generated earnings truthfully, with the market pricing the firm based on those reported earnings. We generate benchmarks against which empirically observed earnings‐returns relations and aggregate earnings distributions can be evaluated. This parsimonious model shows a coherent set of results: reported losses are less persistent than reported gains, decision making diminishes the S‐shaped market response to earnings and earnings relate to returns asymmetrically in the way documented by Basu [1997]. Furthermore, the implied frequency distribution of aggregate earnings is neither symmetric nor necessarily single‐peaked. Instead, it may exhibit a kink at zero and look similar to the plots reported by Burgstahler and Dichev [1997]. However, within our model, none of these phenomena are due to reporting noise, bias, or some undesirable strategic managerial behavior. They are the natural consequences of using past earnings as the basis for value increasing managerial decision making that in turn generates the future earnings on which future decisions will be based.     

Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter

This paper examines whether third‐party‐generated product information on Twitter, once aggregated at the firm level, is predictive of firm‐level sales, and if so, what factors determine the cross‐sectional variation in the predictive power. First, the predictive power of Twitter comments increases with the extent to which they fairly represent the broad customer response to products and brands. The predictive power is greater for firms whose major customers are consumers rather than businesses. Second, the word‐of‐mouth effect of Twitter comments is greater when advertising is limited. Third, a detailed analysis of the identity of the tweet handles provides the additional insights that the predictive power of the volume of Twitter comments is dominated by “the wisdom of crowds,” whereas the predictive power of the valence of Twitter comments is largely attributable to expert comments. Furthermore, Twitter comments not only reflect upcoming sales, but also capture an unexpected component of sales growth.     

The Informational Role of Short Sellers: The Evidence from Short Sellers’ Reports on US‐Listed Chinese Firms

Using US‐listed Chinese firms as the setting, this paper studies a novel channel through which investors can acquire information about firms’ financial reporting quality, that is, the reports published voluntarily by short sellers. I find that short sellers tend to target firms that have financial reporting red flags and that exhibit ‘good’ operating performance and stock valuations. Targeted firms experience an average three‐day cumulative abnormal return (CAR) of ?6.4%, and ?13.6% for initial coverage of the firm, and the CARs are more negative when the reports allege more severe misconduct of the firms. Non‐targeted firms also experience losses in value following short seller reports, especially when they hire the same non‐Big 4 auditors as targeted firms and when their earnings quality is poor. In comparison, analysts fail to perform proper due diligence and are much less effective than short sellers in exposing misreporting risk in Chinese firms.     

Run EDGAR Run: SEC Dissemination in a High‐Frequency World

We describe the process through which the Securities and Exchange Commission (SEC) makes filings “publicly available.” For a sample of Form 4 (insider trade) filings, we show that, during the period we examine, the majority of filings are available to paying subscribers of the SEC's public dissemination system (PDS) feed before they are posted to the EDGAR website, and so provide subscribers and their clients with a private advantage. We show that this advantage translates into an economically significant trading advantage, and prices, volumes, and spreads respond to the news contained in filings beginning around 30 seconds before public posting. These findings indicate that the SEC dissemination process does not always provide a level playing field and that the meaning of publicly available information in capital markets is no longer simple or obvious. In response to our study, the SEC launched an investigation and agreed to eliminate the PDS timing advantage.     

A Real Effects Perspective to Accounting Measurement and Disclosure: Implications and Insights for Future Research

Accounting measurement and disclosure rules have a significant impact on the real decisions that firms make. In this essay, we provide an analytical framework to illustrate how such real effects arise. Using this framework, we examine three specific measurement issues that remain controversial: (1) How does the measurement of investments affect a firm's investment efficiency? (2) How does the measurement and disclosure of a firm's derivative transactions affect a firm's choice of intrinsic risk exposures, risk management strategy, and the incentive to speculate? (3) How could marking‐to‐market the asset portfolios of financial institutions generate procyclical real effects? We draw upon these real effects studies to generate sharper and novel insights that we believe are useful not only for the development of accounting standards, but also for guiding future empirical research.     

Mandatory and Voluntary Disclosures: Dynamic Interactions

Firms sometimes obtain soft private information about growth prospects along with hard information about current or past performance. In this environment, we find that optimizing disclosures over multiple periods yields nonlinear stock price reactions following both voluntary and mandatory disclosures. Further, we derive several predictions about distinct short‐run and long‐run effects of disclosures and nondisclosures on security prices. Under specified conditions, when the volatility of the firm's earnings increases, the average contemporaneous and prospective post‐mandatory‐disclosure market premia (for voluntary disclosures over nondisclosures) rise, while farther‐in‐future market discounts (for such voluntary disclosures) also become larger. Our analysis moreover predicts that both the disclosure probability and the information content of nondisclosures can increase in the persistence of earnings.     

Prompting the Benefit of the Doubt: The Joint Effect of Auditor‐Client Social Bonds and Measurement Uncertainty on Audit Adjustments

We design an incentivized experiment to test whether measurement uncertainty elevates the risk that social bonds between auditors and reporters compromise audit adjustments. Results indicate that, when audit evidence is characterized by some residual uncertainty, the adjustments our auditor‐participants require are sensitive to whether auditors have an opportunity to form a modest but friendly social bond with reporters. In contrast, although auditors do not adjust fully even when misstatements are known with certainty, social bonding has no effect in this scenario. Accordingly, our experiment contributes beyond the main effects of social bonding and measurement uncertainty demonstrated in prior research by showing that these forces interact. A practical implication is that regulators and practitioners should consider both the technical and the social challenges facing audits of complex estimates.