Early Movers Advantage? Evidence from Short Selling during After‐Hours on Earnings Announcement Days

We examine short sellers’ after‐hours trading (AHT) following quarterly earnings announcements released outside of the normal trading hours. Our innovation is to use the actual short trades immediately after the announcements. We find that on these earnings announcement days, there is significant shorting activity in AHT relative to shorting activity both during AHT on nonannouncements days and during regular trading sessions around announcements. Short sellers who trade after‐hours on announcement days earn an excess return of 0.82% and 1.40% during before‐market‐open (BMO) and after‐market‐close (AMC)sessions, respectively. The magnitude of these returns increases to 1.48 (3.92%) for BMO (AMC) earnings announcements with negative surprise. We find that the reactive short selling during AHT has information in predicting future returns. Short sellers’ trades have no predictive power if they wait for the market to open to trade during regular hours. In addition, we find that the weighted price contribution during AHT increases with an increase in after‐hours short selling. Overall, our results suggest that short sellers in AHT are informed. Our findings remain robust using alternative holding periods and after controlling for macroeconomic news announcements during BMO sessions.     

Earnings Announcements,Differences of Opinion and Management Guidance

Berkman, Dimitrov, Jain, Koch, and Tice (2009) document a negative relationship between differences of opinion and earnings announcement returns, and this relationship is more pronounced when short‐sale constraints are likely to be high. These findings are interpreted as support for the theory in Miller (1977) that binding short sale constraints cause pessimists to be underrepresented in price formation. We conjecture that accounting information (i.e., earnings news) is likely to play a role in this returns pattern. After controlling for the level of earnings news, we find that the relationship between differences of opinion and stock returns is either eliminated or opposite from what is predicted by Miller's theory. Further, we present evidence that suggests the confounding effect of earnings news can be explained by (pessimistic) management earnings guidance. Our findings offer an alternative explanation for why low differences of opinion stocks earn greater abnormal returns around earnings announcements.     

News-driven return reversals: Liquidity provision ahead of earnings announcements

This study documents a six-fold increase in short-term return reversals during earnings announcements relative to non-announcement periods. Following prior research, we use reversals as a proxy for expected returns market makers demand for providing liquidity. Our findings highlight significant time-series variation in the magnitude of short-term return reversals and suggest that market makers demand higher expected returns prior to earnings announcements because of increased inventory risks that stem from holding net positions through the release of anticipated earnings news. Collectively, our findings suggest that uncertainty regarding anticipated information events elicits predictable increases in the compensation demanded for providing liquidity and that these increases significantly affect the dynamics and information content of market prices.     

The Impact of Regulation Fair Disclosure on Information Asymmetry and Trading: An Intraday Analysis

This study examines the impact of Regulation Fair Disclosure (FD) on liquidity, information asymmetry, and institutional and retail investors trading behavior. Our main findings suggest three conclusions. First, Regulation FD has been effective in improving liquidity and in decreasing the level of information asymmetry. Second, retail trading activity increases dramatically after earnings announcements but there is a significant decline in institutional trading surrounding earnings announcements, particularly in the pre‐announcement period. Last, the decline in information asymmetry around earnings announcements is closely associated with a lower participation rate in the pre‐announcement period and more active trading of retail investors after earnings releases.     

Anticipated Earnings Announcements and the Customer–Supplier Anomaly

I test whether the anticipation of earnings news stimulates acquisition of customer information and mitigates returns to the customer–supplier anomaly documented by Cohen and Frazzini (“Economic Links and Predictable Returns.” The Journal of Finance 63 (2008): 1977–2011). I find that attention to a firm's publicly disclosed customers increases shortly before the firm announces earnings, and that customer stock returns predict supplier stock returns shortly before, but not after, the supplier's earnings announcement. I further find some evidence that these predictable returns are increasing in the level of customer information acquisition. These results are unique to anticipated disclosure events and suggest that anticipation of supplier earnings announcements resolves investor limited attention to customer information and accelerates price discovery of customer news.     

Earnings Announcements and Systematic Risk

Firms scheduled to report earnings earn an annualized abnormal return of 9.9%. We propose a risk‐based explanation for this phenomenon, whereby investors use announcements to revise their expectations for nonannouncing firms, but can only do so imperfectly. Consequently, the covariance between firm‐specific and market cash flow news spikes around announcements, making announcers especially risky. Consistent with our hypothesis, announcer returns forecast aggregate earnings. The announcement premium is persistent across stocks, and early (late) announcers earn higher (lower) returns. Nonannouncers' response to announcements is consistent with our model, both over time and across firms. Finally, exposure to announcement risk is priced.     

Are corporate managers savvy about their stock price? Evidence from insider trading after earnings announcements

We find that insiders trade as if they exploit market underreaction to earnings news, buying (selling) after good (bad) earnings announcements when the price reaction to the announcement is low (high). We also find that insider trades attributable to public information about earnings and the price reaction generate abnormal returns. By demonstrating that managers spot market underreaction to earnings news, our results imply that managers are savvy about their company’s stock price.     

Investor and (Value Line) Analyst Underreaction to Information about Future Earnings: The Corrective Role of Non-Earnings-Surprise Information

Prior research suggests that financial analysts' earnings forecasts and stock prices underreact to earnings news. This paper provides evidence that analysts and investors correct this underreaction in response to the next earnings announcement and to other (non-earnings-surprise) information available between earnings announcements. Our evidence also suggests that analysts and investors underreact to information reflected in analysts' earnings forecast revisions and that non-earnings-surprise information helps correct this underreaction as well. Controlling for corrective non-earnings-surprise information significantly increases estimates of the degree to which analysts' forecasting behavior can explain drifts in returns following both earnings announcements and analysts' earnings forecast revisions.     

Individual Investor Trading and Return Patterns around Earnings Announcements

This paper provides evidence of informed trading by individual investors around earnings announcements using a unique data set of NYSE stocks. We show that intense aggregate individual investor buying (selling) predicts large positive (negative) abnormal returns on and after earnings announcement dates. We decompose abnormal returns following the event into information and liquidity provision components, and show that about half of the returns can be attributed to private information. We also find that individuals trade in both return‐contrarian and news‐contrarian manners after earnings announcements. The latter behavior has the potential to slow the adjustment of prices to earnings news.     

Too Good to be True? An Analysis of the Options Market's Reactions to Earnings Releases

Using option implied risk neutral return distributions before and after earnings announcements, we study the option market's reaction to extreme events over earnings announcements. While earnings announcements generally reduce short‐term uncertainty about the stock price, very good news does not reduce uncertainty and slightly bad news actually increases uncertainty. We also find that left tail probabilities decrease over earnings releases while right tail probabilities increase. We interpret these findings as evidence of maintained investor expectations that very good news is generally not released during earnings announcements, combined with skepticism in the form of lingering uncertainty at the release of such very good news.     

Earnings characteristics and analysts’ differential interpretation of earnings announcements: An empirical analysis

This study provides empirical evidence on factors that drive differential interpretation of earnings announcements. We document that Kandel and Pearson's forecast measures of differential interpretation are decreasing in proxies for earnings quality and pre‐announcement information quality. This evidence yields new and useful insights regarding which earnings announcements are less likely to generate newfound disagreement among analysts and investors. Recent research suggests that investor disagreement can increase investment risk, increase the cost of capital, and cause stock prices to deviate from fundamental value. Therefore, our results support prior intuition that increasing the quality of earnings and pre‐announcement information can improve the efficiency of capital markets.     

Order imbalance,market returns and macroeconomic news: Evidence from the Australian interest rate futures market

The relationship between order imbalance, market returns and macroeconomic news is examined in the context of the Australian interest rate futures market. Contemporaneous order imbalance exerts a significant impact on market returns in the expected direction i.e. excess buy (sell) orders drive up (down) prices. Order imbalances are related to past market returns with market participants acting in a contrarian manner across all products following market rallies. Nine major macroeconomic announcements are identified with order imbalance, and returns, reacting to such announcements in a manner that correctly reflects the news component. Following a scheduled macroeconomic announcement there is an increase in the level of information asymmetry within the interest rate futures market, demonstrated by an increased sensitivity to order flow. Finally, the pattern of order imbalance immediately prior to scheduled announcements suggests that there is no information leakage.     

Earnings management and corporate spinoffs

In this study we examine whether firms manage earnings before pursuing corporate spinoffs. Using a sample of 226 completed spinoffs between 1985 and 2005, we find strong evidence of pre-spinoff earnings management among parent firms involved in non-focus-increasing spinoffs. We also find higher levels of earnings management among parent firms that have a higher level of information asymmetry prior to spinoff announcements. Our regression results show a significant negative relation between income-increasing earnings management and the announcement period returns for non-focus-increasing spinoffs. In addition, a significant positive relation is found between income-increasing earnings management and the announcement period returns for focus-increasing spinoffs. The results suggest that income-increasing earnings management sends out negative signals about non-focus-increasing spinoffs but positive signals about focus-increasing spinoffs.     

How important are semi-annual earnings announcements? An information event perspective

Using a method that avoids the need to specify earnings expectations, we demonstrate that the period surrounding the semi-annual announcement of Australian firms' earnings is, on average, an important source of information. Although there is substantial year-to-year variation, we observe no evidence of any significant time trend, and also conclude that a shift from Australian domestic generally accepted accounting principle to International Financial Reporting Standards did not impact the association between earnings announcement windows and stock returns. We also find no evidence that the informativeness of earnings announcements varies systematically with firm size, analyst following or economic news (i.e., positive vs. negative stock returns, profits vs. losses), although we do observe significant variation across industries. Our conclusion is further supported by contrasting the earnings release date with the days immediately prior to release, or high information days other than earnings announcement windows. Using a more precise event window relative to prior studies (i.e., 3 h vs. 3 days), we confirm that earnings announcements contain significant new information about fundamentals.     

EARNINGS NEWS AND MARKET RISK: IS THE MAGNITUDE OF THE POSTEARNINGS ANNOUNCEMENT DRIFT UNDERESTIMATED?

Postearnings announcement drift is the tendency for cumulative abnormal returns to drift in the direction of earnings surprise after the earnings news is released. I show that a standard approach to measuring abnormal returns by using preannouncement estimates of market risk (betas) causes the magnitude of this phenomenon to be significantly underestimated. I find that stock beta tends to rise (fall) following the release of bad (good) earnings news. In addition, I find that by not taking into account postannouncement shifts in betas, prior studies are likely to have underestimated the magnitude of the drift. My results are robust to different model specifications, as well as to different earnings surprise measures.     

Does the market overweight imprecise information? Evidence from customer earnings announcements

We examine how supplier-firm shareholders respond to the earnings announcements of their major customers to test the moderated confidence hypothesis, which predicts overreaction to imprecise signals. In our setting, the moderated confidence hypothesis predicts that supplier shareholders will overreact to customer earnings news because that news contains imprecise information about the suppliers’ future cash flows. We find evidence that supplier earnings announcement abnormal returns are negatively correlated with supplier abnormal returns at the earlier customers’ earnings announcements, consistent with supplier overreaction. We also find evidence that the overreaction declines with the strength of the economic ties between the supplier and the customer.     

Sell on the news: Differences of opinion,short-sales constraints,and returns around earnings announcements

Miller [1977. Risk, uncertainty, and divergence of opinion. Journal of Finance 32, 1151–1168] hypothesizes that prices of stocks subject to high differences of opinion and short-sales constraints are biased upward. We expect earnings announcements to reduce differences of opinion among investors, and consequently, these announcements should reduce overvaluation. Using five distinct proxies for differences of opinion, we find that high differences of opinion stocks earn significantly lower returns around earnings announcements than low differences of opinion stocks. In addition, the returns on high differences of opinion stocks are more negative within the subsample of stocks that are most difficult for investors to sell short. These results are robust when we control for the size effect and the market-to-book effect and when we examine alternative explanations such as financial leverage, earnings announcement premium, post-earnings announcement drift, return momentum, and potential biases in analysts’ forecasts. Also consistent with Miller's theory, we find that stocks subject to high differences of opinion and more binding short-sales constraints have a price run-up just prior to earnings announcements that is followed by an even larger decline after the announcements.     

EXPLORING THE LINK BETWEEN INFORMATION QUALITY AND SYSTEMATIC RISK

We examine the effect of information quality around earnings announcements and insider trading events on equity systematic risk. Our results indicate that observed systematic risk significantly increases after these events. Consistent with the insights provided by our framework, the change in systematic risk is increasing in the ratio of event‐related to pre‐event information quality. Our results have implications for all empirical work attempting to model security returns around firm and macroeconomic announcements.     

Informed Trading in Corporate Bonds Prior to Earnings Announcements

This paper examines the information content of corporate bond trading prior to earnings announcements using data from both NAIC and TRACE. We find that the direction of pre‐announcement bond trading is closely related to earnings surprises. This link is most evident prior to negative news and in high‐yield bonds. Further, abnormal bond trading during the pre‐announcement period can help predict both earnings surprises and post‐announcement bond returns. Such predictive ability of bond trading largely originates from institutional‐sized trades and is concentrated in the issuer's most actively traded bond. Finally, even after accounting for transactions costs, informed bond trading can generate significant net profits, especially prior to the release of bad news.     

Is there Information in an Earnings Announcement Delay?

Using a sample of announcements drawn from the 1980s and early 1990s, we reassess the relation between earnings news and earnings announcement timing. Using analyst forecast errors to proxy for news, we find that early announcements are associated with good news relative to late announcements. The relation between news and timing, however, does not appear to be strictly monotonic. Furthermore, we find that unexpected earnings explain 4% or less of the variation in timing. Finally, we assess whether abnormal returns behave in a manner that is consistent with a good news early, bad news late relation.