Asymmetric Trading Costs Prior to Earnings Announcements: Implications for Price Discovery and Returns

We show that the cost of trading on negative news, relative to positive news, increases before earnings announcements. Our evidence suggests that this asymmetry is due to financial intermediaries reducing their exposure to announcement risks by providing liquidity asymmetrically. This asymmetry creates a predictable upward bias in prices that increases preannouncement, and subsequently reverses, confounding short‐window announcement returns as measures of earnings news and risk premia. These findings provide an alternative explanation for asymmetric return reactions to firms' earnings news, and help explain puzzling prior evidence that announcement risk premia precede the actual announcements. Our study informs methods for research centering on earnings announcements and offers a possible explanation for patterns in returns around anticipated periods of heightened inventory risks, including alternative firm‐level, industry‐level, and macroeconomic information events.     

The puzzling behavior of short sellers around earnings announcements

We examine the performance of ‘predictive’ and ‘reactive’ short sellers who take relatively large short positions immediately before and after quarterly earnings announcements, respectively. While both types short into advancing markets, it is surprising for reactive shorts since their trades are in stocks that just announced unexpected good news and thus, according to the post-earnings announcement drift anomaly, will subsequently have abnormally high cumulative returns. Nevertheless, we find that for both types of short sellers: (1) subsequent cumulative returns are significantly negatively related to the amount of abnormal short selling, suggesting they are informed, and (2) relative to non-earnings dates, the subsequent returns around earnings announcements are significantly more negative, indicating they appear to be adept at exploiting earnings announcements. Surprisingly, we find that the subsequent returns of reactive short sellers are significantly greater than those of predictive short sellers except for S&P 500 stocks, perhaps due to their greater analyst following. Importantly, we are left with two puzzles. First, reactive shorts would have significantly improved their performance had they based their trades on the size of standardized unexpected earnings (‘SUE’). Second, predictive shorts of Micro stocks would have significantly improved their performance had they simply waited until earnings were announced and then based their trades on SUE.     

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.     

The information content of earnings announcements: new insights from intertemporal and cross-sectional behavior

This study examines the information content of quarterly earnings announcements, measured as the magnitude of stock price revision at earnings announcements relative to price revision at other times. We investigate whether quarterly earnings announcements are informative using a nonparametric approach and 1971–2011 sample period. The findings affirm prior evidence on earlier sample periods that significantly more information is conveyed to investors in the three days around earnings announcements than in randomly chosen three-day periods. Next, we examine the behavior of information content over our sample period and document four key findings. First, there is a dramatic increase in information content at earnings dates from 2001 onward. Second, the market reaction to loss firms is substantially less than that for profitable firms. Third, there is a significantly greater reaction to larger firms. Fourth, reaction at earnings dates is significantly increasing in analyst coverage, and once analyst coverage is controlled, the association with size becomes less significant.     

Stockholders’ Unrealized Returns and the Market Reaction to Financial Disclosures

Using both investor‐ and stock‐level data, I examine the relation between stockholders’ unrealized returns since purchase and the market response to earnings announcements. I demonstrate that stockholders’ unrealized gain/loss position moderates their trading behavior in response to earnings announcements. I also find that this behavior generates a short‐window return underreaction to earnings news. My results are generally consistent with predictions from prospect theory regarding the manner in which stockholders’ unrealized returns moderate their trading response to belief shocks. However, my results also suggest that an emotional component (i.e., regret‐avoidance/pride‐seeking) is necessary to explain the observed investor behavior.     

The reaction of asset prices to macroeconomic announcements in new EU markets: Evidence from intraday data

We estimate the impact of macroeconomic news on composite stock returns in three emerging European Union financial markets (the Budapest BUX, Prague PX-50, and Warsaw WIG-20), using intraday data and macroeconomic announcements. Our contribution is twofold. We employ a larger set of macroeconomic data releases than used in previous studies and also use intraday data, an excess impact approach, and foreign news to provide more reliable inferences. Composite stock returns are computed based on 5-min intervals (ticks) and macroeconomic news are measured based on the deviations of the actual announcement values from their expectations. Overall, we find that all three new EU stock markets are subject to significant spillovers directly via the composite index returns from the EU, the U.S. and neighboring markets; Budapest exhibits the strongest spillover effect, followed by Warsaw and Prague. The Czech and Hungarian markets are also subject to spillovers indirectly through the transmission of macroeconomic news. The impact of EU-wide announcements is evidenced more in the case of Hungary, while the Czech market is more impacted by U.S. news. The Polish market is marginally affected by EU news. In addition, after decomposing pooled announcements, we show that the impact of multiple announcements is stronger than that of single news. Our results suggest that the impact of foreign macroeconomic announcements goes beyond the impact of the foreign stock markets on Central and Eastern European indices. We also discuss the implications of the findings for financial stability in the three emerging European markets.     

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.     

Insider trading,future earnings,and post-earnings announcement drift

This paper examines the association between insider trading prior to quarterly earnings announcements and the magnitude of the post-earnings announcement drift (PEAD). We conjecture and find that insider trades reflect insiders’ private information about the persistence of earnings news. Thus, insider trades can help investors better understand and incorporate the time-series properties of quarterly earnings into stock prices in a timely and unbiased manner, thereby mitigating PEAD. As predicted, PEAD is significantly lower when earnings announcements are preceded by insider trading. The reduction in PEAD is driven by contradictory insider trades (i.e., net buys before large negative earnings news or net sells before large positive earnings news) and is more pronounced in the presence of more sophisticated market participants. Consistent with investors extracting and trading on insiders’ private information, pre-announcement insider trading is associated with smaller market reactions to future earnings news in each of the four subsequent quarters. Overall, our findings indicate insider trading contributes to stock price efficiency by conveying insiders’ private information about future earnings and especially the persistence of earnings news.     

Selective Publicity and Stock Prices

I examine how media coverage of good and bad corporate news affects stock prices, by studying the effect of investor relations (IR) firms. I find that IR firms “spin” their clients' news, generating more media coverage of positive press releases than negative press releases. This spin increases announcement returns. Around earnings announcements, however, IR firms cannot spin the news and their clients' returns are significantly lower. This pattern is consistent with positive media coverage increasing investor expectations, creating disappointment around hard information. Using reporter connections and geographical links, I argue that IR firms causally affect both media coverage and returns.     

The effect of option transaction costs on informed trading in the options market around earnings announcements

We investigate the effect of option market transaction costs (a form of market imperfection) on the ability of option implied volatility-based measures to predict future stock returns and volatility around quarterly earnings announcements. We find that the predictability is significantly stronger for firms with lower option relative bid-ask spreads. The effect is more pronounced around positive rather than negative earnings news. We find no significant effect of option transaction costs around randomly chosen dates when there is no clustering of major information events. Trading strategies based on option market predictors and transaction costs earn monthly abnormal returns of 1.39% to 1.91%.     

Earnings forecasts and idiosyncratic volatilities

We test the theoretical relation between idiosyncratic return volatilities and the volatilities of cash-flow news based on the expected returns on equity (ROE) for CRSP stocks over the period 1977–2008. Consistent with economic intuition, we find that using analyst forecasts of earnings is superior to using realized earnings to proxy for market expectations about future cash flow news. Our findings are consistent with a market where stock return volatilities are positively and asymmetrically related to changes in the volatilities of expectations for a fundamental driver of cash flow news (ROE). Our findings are robust after correcting for forecast biases, various fundamental variables, newly-listed and mature firms, and periods with and without earnings announcements.     

Are active fund managers collectors of private information or fast interpreters of public information?

Recent studies of fund manager performance find evidence of outperformance. However limited research exists as to whether such outperformance is because of privately collected information, or merely expedient interpretation of publicly released information. In this study, we examine the trade sequences of active Australian equity fund managers around earnings announcements to provide insights into the source of fund managers’ superior information. We document an increased occurrence of buy‐sell trade sequences around good‐news earnings announcements. The evidence is consistent with fund managers having both private information about forthcoming good‐news earnings announcements and being ‘short‐term profiteers’. We find no evidence that fund managers have private information about forthcoming bad‐news earnings announcements. However, we do find an increase in the frequency of fund managers not trading before bad‐news earnings announcements only to subsequently sell during announcements.     

Macroeconomic News and Mortgage Rates

The study analyzes the influence of macroeconomic news announcements on (a) interest rates for commercial mortgages, residential mortgages, 10-year Treasury notes, and Baa-rated corporate bonds; and (b) corresponding mortgage spreads. It is both interesting and highly relevant from a policy and portfolio management standpoint to examine the implications of the influence of macroeconomic news announcements on mortgage markets. Some important results are reported. First, consistent with the notion of market integration, mortgage rates are found to be co-integrated with other capital market instruments. Second, of the 22 types of periodic macroeconomic news releases considered, 13 of them have a significant influence on at least one of the interest rates, and notably changes in hourly earnings and housing starts significantly influence all debt-security yields. More generally, macroeconomic news that conveys higher inflation and/or economic growth has a positive influence on mortgage and other interest rates. Finally, this study finds several announcements including durable goods orders, new home sales, personal consumption, non-farm payroll, trade balance and Treasury budget to have a significant influence on mortgage spreads.     

Information aggregation around macroeconomic announcements: Revisions matter

I show that an empirical relation exists between stock returns on macroeconomic news announcement days and the future revisions of the released data but that this link differs across the business cycle. Using three major macroeconomic series that undergo significant revisions (nonfarm payroll, gross domestic product, and industrial production), I present evidence that daily returns on the Standard & Poor's 500 index and revisions are positively related in expansions and negatively related in recessions. The results suggest that revisions do matter, i.e., that investors care about the final revised value of a macroeconomic series, that they infer accurate information from the release of the preliminary inaccurate report, and that the more precise information is aggregated into prices on the day of the initial announcement. The results are consistent with the predictions of rational expectations trading models around public announcements combined with well-established empirical results on the asymmetric interpretation of information across the business cycle.     

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.     

Level of multinationality as an explanation for post-announcement drift

This study tests whether the observed patterns in stock returns after quarterly earnings announcements are related to the level of multinationality, a variable used to proxy for earnings predictability. Our findings show that the level-of-multinationality variable is negatively correlated with the observed post-announcement abnormal returns. The findings suggest that the level of multinationality as a proxy for earnings predictability underlies the predictability of stock returns after earnings announcements.     

What Drives Firm‐Level Stock Returns?

I use a vector autoregressive model (VAR) to decompose an individual firm's stock return into two components: changes in cash-flow expectations (i.e., cash-flow news) and changes in discount rates (i.e., expected-return news). The VAR yields three main results. First, firm-level stock returns are mainly driven by cash-flow news. For a typical stock, the variance of cash-flow news is more than twice that of expected-return news. Second, shocks to expected returns and cash flows are positively correlated for a typical small stock. Third, expected-return-news series are highly correlated across firms, while cash-flow news can largely be diversified away in aggregate portfolios.     

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.     

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.     

Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms

This study employs macroeconomic news announcements as a proxy for new information arrivals and examines their impact on price discovery. We compare the price discovery of 38 Canadian companies listed on the Toronto Stock Exchange (TSX) and the New York Stock Exchange (NYSE) for the period 2004–2011. First, we observe that price discovery shifts significantly during macroeconomic news announcement days. Second, the NYSE becomes more important in terms of price discovery, regardless of the origin of the news. Third, we examine the relation between price discovery and market microstructure variables. After controlling for liquidity shocks, we find that the impact of news announcements persists. Intraday analyses of price discovery on periods surrounding news releases further support these findings. Overall, our findings suggest that there is a difference in information-processing capability of the two markets, with the U.S. market being better at processing information than the Canadian market during macroeconomic news announcements.