Options trading volume and stock price response to earnings announcements

We examine the effect of options trading volume on the stock price response to earnings announcements over the period 1996–2007. Contrary to previous studies, we find no significant difference in the immediate stock price response to earnings information announcements in samples split between firms with listed options and firms without listed options. However, within the sample of firms with listed options stratified by options volume, we find that higher options trading volume reduces the immediate stock price response to earnings announcements. This conforms with evidence that stock prices of high options trading volume firms have anticipated and pre-empted some earnings information in the pre-announcement period. We also find that higher abnormal options trading volume around earnings announcements hastens the stock price adjustment to earnings news and reduces post-earnings announcement drift.     

Twitter investor sentiment and corporate earnings announcements

We examine the impact of firm-specific investor sentiment (FSIS) on stock returns for negative and positive earnings surprises. Using a measure constructed from firm-specific tweets, we find that FSIS has a greater impact on stock returns for negative relative to positive earnings surprises. We further show that the impact of FSIS is greater for firms whose valuation is uncertain and difficult to arbitrage. Moreover, we provide evidence of return reversals over post-announcement periods. Our results highlight the importance of FSIS around earnings announcements.     

High-frequency traders and price informativeness during earnings announcements

Review of Accounting Studies - High frequency traders (HFTs) account for a significant fraction of the total market volume. Prompted by concerns that HFTs reap unfair advantages over other traders...     

The effects of legal regime on the patterns of stock returns surrounding ADR earnings announcements

This study examines the effects of legal regime on the patterns of stock returns surrounding the earnings announcements of American Depositary Receipt (ADR) programs. My results indicate that the properties of accounting earnings associated with the local legal regime of an ADR program spill over to U.S. GAAP reconciled earnings. In particular, I find that the market reacts significantly to the earnings announcements of the ADR programs from common law countries whose accounting earnings are known to be more conservative and timely, but not to those of the ADR programs from code law countries where the earnings are known to be less conservative and timely.     

Belief diversity and price informativeness around earnings announcements

The consequences of price informativeness have been extensively studied in the past. In contrast, this study goes a step backward to explore its determinants by examining whether belief diversity facilitates a complete and timely reflection of earnings news into prices. Using a global dataset, we find a higher abnormal return variance ratio (lower post-earnings announcement drift) in the presence of more diversely-informed beliefs among traders. This inference holds despite several robustness checks. Moreover, the cross-country analysis reveals that the documented impact of belief diversity intensifies in countries with higher market development, greater corporate transparency, and stronger investor protection.     

The information content of implied skewness and kurtosis changes prior to earnings announcements for stock and option returns

We use option prices to examine whether changes in stock return skewness and kurtosis preceding earnings announcements provide information about subsequent stock and option returns. We demonstrate that changes in jump risk premiums can lead to changes in implied skewness and kurtosis and are also associated with the mean and variability of the stock price response to the earnings announcement. We find that changes in both moments have strong predictive power for future stock returns, even after controlling for implied volatility. Additionally, changes in both moments predict call returns, while put return predictability is primarily linked to changes in skewness.     

The intraday speed of adjustment of stock prices to earnings and dividend announcements

This paper examines the effects of Broad Tape news releases of earnings and dividend announcements on three aspects of intraday stock price behavior: mean returns, return variance, and serial correlation in consecutive price changes. The initial price reaction is evident in the first pair of price changes following the release (i.e., within a few minutes, at most). The returns earned by simple trading rules dissipate within five to ten minutes, although significant returns are detected in the overnight period and at the opening of trading on the next day. Disturbances in the variance and serial correlation persist for several hours and extend into the following trading day. As a class, dividend announcements induce much less activity than do earnings, although the response to dividend changes is comparable to the earnings announcement effect.     

The price and volume response to earnings announcements in the corporate bond market

We examine abnormal returns and trading activity in bond markets around earnings announcements. Previous work provides mixed evidence on the relative impact of positive and negative surprises and the degree of response in investment-grade and speculative-grade bonds. We find that these announcements convey value-relevant information for both positive and negative earnings surprises in both investment and speculative-grade bonds. We also document significant heterogeneity in the response across industries, with muted responses in both abnormal returns and trading activity for bonds of firms in the financial and utilities industries.     

Trading volume in options and common stock around quarterly earnings announcements

This study examines trading in call and put options around quarterly earnings announcements and investigates whether the existence of these options affects the common stock trading volume response to these announcements. We find that the options trading volume reaction to earnings announcements is larger than the corresponding reaction in common stock. Consistent with the idea that options provide an alternative vehicle for trading on information, the existence of these options lowers the level of trading in common stock. Options also appear to offer investors an alternative method of taking short positions, as shown by the symmetric stock market trading volume reaction to good versus bad news for firms with listed options. In contrast, firms without listed options exhibit a larger trading volume response to good news than to bad news of similar magnitude.     

The impact of regulation Fair Disclosure on investors' prior information quality — Evidence from an analysis of changes in trading volume and stock price reactions to earnings announcements

We document that Regulation Fair Disclosure has reduced differences in information quality between investors prior to quarterly earnings announcements consistent with the intent of the regulation. This reduction is driven by small firms and high technology firms, rather than the large firms targeted by the SEC, which suggests that selective disclosure among large firms may have been much more limited than what was presumed by proponents of FD. In addition, we document that FD has decreased the average information quality of investors in small and high technology firms in the period prior to an earnings announcement while having no lasting effect on other firms. Taken together these two results suggest that, for small and high technology firms, FD succeeded in eliminating selective disclosure but also lowered the average quality of information available about these firms.     

Earnings expectations,investor trade size,and anomalous returns around earnings announcements

We provide evidence that identifiable subsets of investors use significantly different information sets. Investors initiating large trades respond to analysts’ earnings forecast errors, while investors initiating small trades respond to a less-sophisticated signal that underestimates the implications of current earnings innovations for future earnings levels. This suggests small investors exhibit the behavior that Bernard and Thomas [Journal of Accounting and Economics 13, 305–340] theorize causes post-earnings announcement drift. We also use analysts’ forecasts to significantly improve the predictability of returns around earnings announcements previously documented by Bernard and Thomas. Finally, results attempting to link return predictability to the prevalence of small-investor trading are mixed.     

Stock price reactions to earnings announcements: evidence from Chinese markets

We examine the stock price reactions to changes in earnings per share (EPS) in the Chinese stock markets. We find that domestic A-share investors do not correctly anticipate the changes in earnings and fail to adjust new earnngs information quickly, but international B-share investors can predict earnings changes better than A-share investors. As a result, abnormal returns (ARs) can be obtained by trading on the earnings information, but for A shares only. An explanation is that most A-share holders are individuals with short-term investment horizon while most B-share holders are large institutions that trade on more detailed and accurate financial information not immediately available to A-share holders.     

In name only: Information spillovers among Chinese firms with similar stock names during earnings announcements

We examine whether investors' attention on salient firm characteristics affects information spillovers during corporate earnings announcements. For market participants in China, the stock name is a salient feature of listed companies. We find that the market reaction of non-announcing firms to earnings reports of announcing firms is greater across firms with similar stock names. The incremental information spillovers among similarly named stocks are stronger for larger announcing firms and on days with fewer earnings announcements. The incremental information spillovers between similarly named stocks do not fully reverse in the post-announcement period, consistent with persistent investor behavior predicted by the salience theory. There are also significant return comovements among similarly named stocks. Our findings suggest that investors with limited attention are likely to focus on salient stock names and overestimate the economic connections between similarly name stocks. Our study extends the behavioral finance literature by showing how investors' attention on salient firm features can bias their reaction to unrelated peer disclosures.     

Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis

This paper analyzes whether the market portfolio is efficiently related to benchmark portfolios formed on size, value, momentum and reversal with various utility theories by using stochastic dominance criteria. The results support the prospect theory including assumption of loss aversion at monthly and yearly horizons, which indicates the market utility is S-shaped, and steeper for losses than for gains. And, the findings do not provide convincing evidence for positive skewness preference. Therefore, it should probe into asset pricing model and financial puzzles by prospect theory preferences. It may thus be difficult for the market to benefit from the asset through its features on skewness or other higher order central moment. We also develop several bootstrap procedures with favorable properties in statistical size and power for testing stochastic dominance efficiency.     

The impact of monetary policy announcements on the stock price of large European banks during the financial crisis

Since 2007, the European Central Bank responded decisively to the challenges posed by the global financial crisis, reducing key policy interest rates to unprecedented low levels and intervening with non-standard policy measures (i.e., monetary easing and liquidity provision). This paper aims to assess the impact of ECB monetary policy announcements on the stock price of large European banks. As a first step, an event study is conducted in order to measure cumulated abnormal returns (CARs) around the announcements over June 2007–June 2013; the second step is a regression analysis aimed at identifying the determinants of CARs. Results show that banks were more sensitive to non-conventional measures than to interest rate decisions, and that the same type of intervention may have a different impact depending on the stage of the crisis. In addition, banks with weaker balance sheets and operating with high-risk were more sensitive to monetary policy interventions.     

Revisiting the corroboration effects of earnings and dividend announcements

Using a unique market setting in Hong Kong, where (i) all firms release earnings and dividend information in the same announcement; (ii) corporate transparency is low; (iii) dividend income is non‐taxable and (iv) corporate ownership is highly concentrated, we re‐examine the corroboration effects of earnings and dividends. We use the control firm approach to avoid the return estimation bias resulting from observation clustering. We also add in variables and use econometric procedure to control for the potential impacts of earnings management, special dividends and heteroskedasticity. Our findings show that there exists a corroboration effect between the jointly announced signals.     

The usefulness of cross-sectional dispersion for forecasting aggregate stock price volatility

Does cross-sectional dispersion in the returns of different stocks help forecast volatility of the S&P 500 index? This paper develops a model of stock returns where dispersion in returns across different stocks is modeled jointly with aggregate volatility. Although specifications that allow for feedback from cross-sectional dispersion to aggregate volatility have a better fit in sample, they prove not to be robust for purposes of out-of-sample forecasting. Using a full cross-section of stock returns jointly, however, I find that use of cross-sectional dispersion can help improve parameter estimates of a GARCH process for aggregate volatility to generate better forecasts both in sample and out of sample. Given this evidence, I conclude that cross-sectional information helps predict market volatility indirectly rather than directly entering in the data-generating process.     

Religious holidays,investor distraction,and earnings announcement effects

We examine price reactions to U.S. firms’ earnings announcements during Easter week in order to analyze whether and how the religious holiday calendar impacts investors’ information processing. We find that there is an asymmetric pattern of immediate and delayed responses to earnings surprises experienced during Easter, entailing similar immediate reactions to both good and bad news and a stronger delayed response to bad news. Moreover, local religious characteristics affect investor’s response to firm news. The results are consistent with a religion-induced distraction effect on investors’ information processing ability. We also show that this effect can form the basis for a profitable trading strategy. The findings highlight the importance of religion for firms’ information environment and for the local component of stock prices.     

Institutional investor information network,analyst forecasting and stock price crash risk

In this paper, we construct the information network of fund investors based on the theory of social relationship networks and examine its impact of fund information sharing with analysts on stock price crash risk. Our results show that private information sharing among institutional investors reduces crash risk. Further results show that fund information sharing can alleviate analyst optimism bias and improve analyst forecast accuracy, which further reduces stock price crash risk. Moreover, these identified effects are more pronounced in a bull market than a bear market. Our study contributes to the research on private information transmission in fund information networks, and provides a new perspective for recognizing the relationships among institutional investor behavior, analyst forecasting, and stock price crash risk.     

Caught on tape: Institutional trading,stock returns,and earnings announcements

Many questions about institutional trading can only be answered if one tracks high-frequency changes in institutional ownership. In the United States, however, institutions are only required to report their ownership quarterly in 13-F filings. We infer daily institutional trading behavior from the “tape”, the Transactions and Quotes database of the New York Stock Exchange, using a sophisticated method that best predicts quarterly 13-F data from trades of different sizes. We find that daily institutional trades are highly persistent and respond positively to recent daily returns but negatively to longer-term past daily returns. Institutional trades, particularly sells, appear to generate short-term losses—possibly reflecting institutional demand for liquidity—but longer-term profits. One source of these profits is that institutions anticipate both earnings surprises and post-earnings announcement drift. These results are different from those obtained using a standard size cutoff rule for institutional trades.