Earnings Announcements and Information Asymmetry: An Intra‐Day Analysis*

This paper examines the effect of earnings announcements on information asymmetry as perceived by specialists. We use changes in quoted bid‐ask spreads and depths (relative to the average value in the non‐announcement period) as proxies for changes in information asymmetry in the market. To our knowledge, we are the first to employ a model that captures the simultaneous nature of the specialists' choice of spreads and depths in reaction to earnings news. We provide evidence that spreads are wider and depths are smaller before the release of earnings announcements. We also find that changes to depths are greater for announcements of quarterly earnings than for announcements of annual earnings and changes to spreads persist longer into the post‐announcement period when announcements are made outside trading hours. These changes to spreads and depths persist when earnings announcements are made after trading hours.     

Earnings Announcements and Market Depth*

Abstract. This paper investigates how strategic trading around the time of earnings announcements affects market liquidity (e.g., bid-ask spreads). We model an investor with private information in advance of an earnings announcement (e.g., inside information). The investor trades before and after the earnings announcement in a market populated by liquidity-motivated traders who have some discretion over the timing of their trades. The main result of the analysis is that an earnings announcement that reduces an insider's private information may lead to a less liquid market in the postannouncement period.     

Option Trading,Price Discovery,and Earnings News Dissemination*

Abstract. Option market activity increases by more than 10 percent in the four days before quarterly earnings announcements. We show that the direction of this preannouncement trading foreshadows subsequent earnings news. Specifically, we find option traders initiate a greater proportion of long (short) positions immediately before “good” (“bad”) earnings news. Midquote returns to active-side option trades are positive during nonannouncement periods and are significantly higher immediately prior to earnings announcements. Bid-ask spreads for options widen during the announcement period, but traders do not gravitate toward high delta contracts. Collectively, the evidence shows option traders participate generally in price discovery (the incorporation of private information in price), and more specifically in the dissemination of earnings news.     

Intra‐Industry Information Transfers and the Post‐Earnings Announcement Drift

This study examines the role of intra‐industry information transfers in the analyst forecast‐based post‐earnings announcement drift. I find that subsequent same‐industry‐peer earnings announcements influence a firm's post‐earnings announcement drift if these subsequent announcements confirm the firm's initial earnings surprise and the firm's industry exhibits ex ante positive (common effect) intra‐industry information transfers. The results suggest that underreaction to industry‐specific information contributes to analyst forecast‐based post‐earnings announcement drift.     

Investors' Misweighting of Firm-Level Information and the Market's Expectations of Earnings

Prior studies use fundamental earnings forecasts to proxy for the market's expectations of earnings because analyst forecasts are biased and are available for only a subset of firms. We find that as a proxy for market expectations, fundamental forecasts contain systematic measurement errors analogous to those in analysts' biased forecasts. Therefore, these forecasts are not representative of investors' beliefs. The systematic measurement errors from using fundamental forecasts to proxy for market expectations occur because investors misweight the information in many firm-level variables when estimating future earnings, but fundamental forecasts are formed using the historically efficient weights on firm-level variables. Thus, we develop an alternative ex ante proxy for the market's expectations of future earnings (“the implied market forecast”) using the historical (and inefficient) weights, as reflected in stock returns, that the market places on firm-level variables. A trading strategy based on the implied market forecast error, which is measured as the difference between the implied market forecast and the fundamental forecast, generates excess returns of approximately 9 percent per year. These returns cannot be explained by investors' reliance on analysts' biased forecasts. Overall, our results reveal that market expectations differ from both fundamental forecasts and analysts' forecasts.     

An Incomplete Audit at the Earnings Announcement: Implications for Financial Reporting Quality and the Market's Response to Earnings

There has been a substantial increase, since 2004, in the number of firms that announce annual earnings before audit completion as opposed to after audit completion. In this study, we argue that earnings announced before audit completion are associated with lower financial reporting quality and investor perceptions that earnings are more likely to be overstated. Consistent with this expectation, we document that the market places more (less) weight on good (bad) earnings news for earnings announced after audit completion relative to earnings announced before audit completion. We continue to find this differential market response when we expand the returns window to include the 10‐K filing date, suggesting that the differential response is not driven by investors' temporary concerns about earnings revisions between the earnings announcement and the 10‐K filing date or by differential GAAP disclosures in the earnings announcement, as suggested in prior research. Finally, as a direct test of financial reporting quality, we show that earnings announced with a completed audit are less likely to be restated in the future, are less likely to meet or beat expectations, and are associated with fewer income‐increasing discretionary accruals than those announced with an incomplete audit.     

The Walk‐down to Beatable Analyst Forecasts: The Role of Equity Issuance and Insider Trading Incentives*

It has been alleged that firms and analysts engage in an "earnings‐guidance game" where analysts first issue optimistic earnings forecasts and then "walk down" their estimates to a level that firms can beat at the official earnings announcement. We examine whether the walk‐down to beatable targets is associated with managerial incentives to sell stock after earnings announcements on the firm's behalf (through new equity issuance) or from their personal accounts (through option exercises and stock sales). Consistent with these hypotheses, we find that the walk‐down to beatable targets is most pronounced when firms or insiders are net sellers of stock after an earnings announcement. These findings provide new insights on the impact of capital‐market incentives on communications between managers and analysts.     

Abnormal Accruals and Managerial Intent: Evidence from the Timing of Merger Announcements and Completions

We examine acquiring managers' opportunistic reporting behavior around stock‐for‐stock acquisitions. Using the timing of merger announcements and completions to infer managerial intent, we show that acquirers with the most inflated earnings tend to announce mergers on Fridays, and that they manage earnings several quarters before the merger announcement date. Friday announcers exhibit a stronger negative association between pre‐merger announcement abnormal accruals and post‐merger announcement market performance than non‐Friday announcers. This effect is driven mainly by mergers that are completed relatively quickly after they are announced. Overall, the evidence supports the notion that some acquiring managers inflate earnings prior to announcing the mergers, and time the merger announcements to exploit investor inattention.     

An Empirical Analysis of the Effects of Online Trading on Stock Price and Trading Volume Reactions to Earnings Announcements*

This study provides evidence regarding the effects of online trading on stock price and trading volume reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996‐99) and a period without online trading (1992‐95). We conjecture that online trading has increased the proportion of naive investors in the market. We predict that this will result in (1) a decrease in the average precision of investor information prior to earnings announcements leading to higher earnings response coefficients (ERCs), (2) an increase in differential interpretation of earnings leading to higher trading volume reactions that are unrelated to price change, and (3) a decrease in differential prior precision leading to a decrease in the association between trading volume and absolute price change. We find evidence consistent with all three predictions. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.     

The Effects of a Change in Market Abuse Regulation on Abnormal Returns and Volumes: Evidence from the Amsterdam Stock Market

The Market Abuse Directive came into effect on 1 October 2005. One of its purposes is to reduce illegal insider trading and leakage of information prior to official releases by increasing penalties. Applying an event study approach to a dataset of almost 5,000 corporate news announcements, the analysis reveals that the information value of announcements, measured by the announcement day abnormal return and abnormal volume, is not significantly different after the new regulation than it was before although the number of releases has increased significantly. Trading suspicious of illegal insider trading and leakage of information, measured in terms of cumulative average abnormal returns and volumes for the 30 days prior to the news announcement, has significantly declined for small capitalization firms, for announcements containing information about alliances and mergers and acquisitions and for firms in the technology sector.     

Voluntary Income-Increasing Accounting Changes*

Abstract. This article presents an explanation of the reasons that managers might elect to change accounting methods. Facing adversity with a nontrivial probability of technical default on the debt covenants, the manager is motivated to effect an income-increasing accounting change to circumvent a technical default. Under rational expectations, if investors do not have any prior information about the firm's adversity, the market reaction on an accounting change announcement is predicted to be negative. We postulate that the market impact on the date of change announcement is negatively correlated with the amount of information the investors may have. A sample of 77 firms was selected to test the economic arguments. Investors' reaction to the accounting change was tested by abnormal returns on dates of announcement. Cross-sectional tests associate the investors' reaction with their prior information about the financial status of the sample firms. On the date of the change announcement, the sample firms did not experience a statistically significant negative market reaction. However, in a cross-sectional analysis, the market impact parameter was found to be significantly correlated in a negative manner with the prior information proxy variable.     

The Effect of Short Selling on Market Reactions to Earnings Announcements*

This paper examines the effect of the inherent demand implied by short interest by studying how stock price reactions to earnings announcements depend on the level of short interest. We find that, for extreme good and bad news events, the inherent demand increases stock prices around the earnings announcement date, with the effect being stronger for good news relative to bad news. Specifically, the initial market reaction to an extreme positive earnings surprise is larger for firms with high levels of short interest. On the other hand, for an extreme negative earnings surprise event, the initial market reaction is less negative for heavily shorted firms. Furthermore, we find that the post‐earnings‐announcement drift is smaller (larger) in magnitude for extreme positive (negative) earnings surprises for the heavily shorted firms.     

Mitigating the Influence of Analysts Who Issue Aggressive Stock Price Targets: The Role of Joint Versus Separate Evaluation*

Investors frequently rely on individual analysts' stock price targets. Aggressive price targets often reflect analysts' attempts to strategically influence investors. Therefore, investors' welfare may be compromised if they take aggressive price targets at face value. In this study, we examine conditions under which investors are more likely to infer that analysts who issue aggressive price targets are acting strategically. Investors can evaluate multiple analysts' price targets with or without other related information (e.g., earnings estimates). Investors can also evaluate the information provided by multiple analysts jointly or separately one analyst at a time. Two experiments find that as predicted, when investors evaluate multiple analysts' price targets without earnings estimates, there is no difference in investors' perceptions about whether the aggressive analyst is acting strategically across joint versus separate evaluation. However, also as predicted, when investors evaluate multiple analysts' price targets along with their earnings estimates, investors perceive the aggressive analyst as acting more strategically under joint evaluation than under separate evaluation. Our findings suggest that jointly evaluating multiple analysts' price targets with other related information, such as earnings estimates, can reduce the likelihood that investors would be overly influenced by aggressive analysts.     

Asymmetric Learning from Prices and Post‐Earnings‐Announcement Drift

Motivated by research in psychology and experimental economics, we assume that investors update their beliefs about an asset's value upon observing the price, but only when the price clearly reveals that others obtained private information that differs from their own private information. Specifically, we assume that investors learn from the price of an asset in an asymmetric manner—they learn from the price if they observe good (bad) private information and the price is worse (better) than what is justified based on public information alone. We show that asymmetric learning from an asset's price leads to post‐earnings‐announcement drift (PEAD), and that it generates arbitrage opportunities that are less attractive than alternative explanations of PEAD. In addition, our model predicts that PEAD will be concentrated in earnings surprises that are not dominated by accruals, and it also predicts that earnings response coefficients will decline in the magnitude of the earnings surprises.     

On Constructing an EPS Measure: An Assessment of the Properties of Dilution*

This paper evaluates the information content of the treasury stock method for computing diluted earnings per share (EPS). We demonstrate that the treasury stock method decreases the annual association between earnings changes and stock returns and explain why this is the case. Further, we show that the treasury stock method leads to a dilutive adjustment that biases the random walk model of annual earnings in a predictable direction. Finally, we demonstrate that using the treasury stock method appears to confuse both analysts and investors: analysts' forecast errors increase with the size of the dilutive adjustment, and the association between unexpected earnings and stock returns at the earnings announcement date weakens as the dilutive adjustment increases.     

Effects of Japanese macroeconomic statistic announcements on the dollar/yen exchange rate: High-resolution picture

Using high-frequency transaction data of the actual trading platform, we examine market impact of Japanese macroeconomic statistics news within minutes of their announcements on the dollar/yen exchange rate. Macroeconomic statistics surprises that consistently have significant effect on dollar/yen returns include Tankan (business condition survey conducted by Bank of Japan), GDP, industrial production, price indices and balance of payment. The announcement itself, in addition to the magnitude of the surprise, is found to increase the number of deals and price volatility immediately after the announcement. Most effects, when significant, take place within 30 min of statistics announcements.     

The Incremental Informativeness of Stock Prices for Future Accounting Earnings*

This study extends previous research that documents a stock price reaction leading accounting earnings. The primary issue is that prior studies use a naive earnings expectation model (random walk) as the benchmark for the information content of lagged returns and do not adequately address the “incremental” information content of lagged returns. This study identifies and estimates firm-specific models of earnings to control directly for the autocorrelation in earnings. The explanatory power of lagged prices with respect to this earnings residual is investigated using both a multiple regression model of lagged returns and a multiple time-series vector autoregressive model. In-sample estimation of the models provides clear evidence that stock prices impound information about future earnings incremental to the information contained in historical earnings data. Holdout period analysis of the earnings forecasts from these lagged return models finds that both models outperform the naive seasonal random walk expectation, but neither model outperforms the more sophisticated Box-Jenkins forecasts. On an individual firm basis, earnings forecasts supplemented with the lagged return data tend to be less precise than the Box-Jenkins forecasts, but the price-based models demonstrate an ability to rank the earnings forecast errors from the time-series models. The analysis helps to characterize the limitations of lagged returns as a means of predicting future earnings innovations.     

Earnings surprises and prior insider trading: Tests of joint informativeness*

Abstract. Building on the notion that both earnings surprises and the level of insider trading are noisy signals of future prospects of the firm, this paper empirically investigates joint informativeness of the two signals surrounding earnings announcements. Classification of a large sample of firms in the time period 1977–81 based both on the levels of earnings surprise and insider trading results in a finer partition informationally, compared to using just one signal. Both additive and interactive effects are observed while analysing the security market response during the three trading days centered on the day of earnings announcements. Over a 19-day postannouncement period, the results are less pronounced. The overall pattern of results implies that each signal may contain information not contained in the other, and/or some of the noise associated with each signal may be interactively resolved at the time of earnings announcements. This inference is robust under many measurement alternatives. Résumé. À partir du principe voulant que les bénéfices imprévus ainsi que l'importance des opérations d'initiés soient des indicateurs manifestes des perspectives futures de l'entreprise, les auteurs procèdent à une étude empirique de la qualité informative conjointe des deux indicateurs dans le cadre des avis de bénéfices. La classification d'un vaste échantillon d'entreprises pendant la période 1977–1981 en fonction à la fois du niveau des bénéfices imprévus et de l'importance des opérations d'initiés permet un découpage plus subtil sur le plan informationnel que l'utilisation d'un indicateur unique. Les auteurs observent les effets tant additifs qu'interactifs de cette classification dans l'analyse de la réponse du marché boursier au cours des trois jours de bourse centrés sur le jour de la communication des avis de bénéfices. Pour la période de 19 jours suivant la période d'avis, les résultats sont moins accusés. Le modèle global des résultats suppose que chaque indicateur peut livrer de l'information que l'autre ne livre pas et qu'une partie de ce que manifeste chaque indicateur peut être résolue de façon interactive au moment de la communication des avis de bénf?ices. Cette induction résiste à l'épreuve de plusieurs techniques de mesure.     

Inferring Accounting Information from Corporate Financing Choices: An Examination of Security Issuances in the Banking Industry*

This study examines the impact of regulatory capital and several of its determinants (i.e., earnings, loan loss provisions, charge‐offs and growth) on bank managers' financing decisions and investors' interpretations of those decisions. The analysis is related to two streams of research. We add to the corporate finance literature that seeks to explain the market's reaction to security issuances by developing and testing a refined set of predictions of the demand for debt and equity capital using a sample of capital‐regulated firms (banks). We extend the accounting literature that links regulatory capital‐management decisions with bank performance by examining whether investors infer that performance. We find that bank managers' financing choices reflect their private information regarding the levels of regulatory capital, earnings, and charge‐offs in the issuance year. We document a negative market reaction to capital‐increasing issuances and a positive reaction to capital‐decreasing issuances. A cross‐sectional analysis of that market reaction indicates that investors infer managers' expectations of earnings in the issuance year.     

Investor Overreaction to Earnings Surprises and Post‐Earnings‐Announcement Reversals

Prior literature suggests that the market underreacts to the positive correlation in a typical firm's seasonal earnings changes, which leads to a post‐earnings‐announcement drift (PEAD) in prices. We examine the market reaction for a distinct set of firms whose seasonal earnings changes are uncorrelated and show that the market incorrectly assumes that the earnings changes of these firms are positively correlated. We also document that positive (negative) seasonal earnings changes in the current quarter are associated with negative (positive) abnormal returns in the next quarter. Thus, we observe a reversal of abnormal returns, consistent with a systematic overreaction to earnings, rather than the previously documented PEAD. Additional analysis indicates that financial analysts similarly overestimate the autocorrelation of these firms, although to a lesser extent. We also find that the magnitude of overestimation and the subsequent price reversal are inversely related to the richness of the information environment. Our results challenge the notion that investors recognize but consistently underestimate earnings correlation and provide a new perspective on the inability of prices to fully reflect the implications of current earnings for future earnings. That is, we show that investors predictably overestimate correlation when it is lacking, but underestimate it when it is present.