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.     

Does Shareholder Composition Matter? Evidence from the Market Reaction to Corporate Earnings Announcements

We examine whether institutional ownership composition is related to parameters of the market reaction to negative earnings announcements. When firms report earnings below analysts' expectations, the stock price response is more negative for firms with higher levels of ownership by momentum or aggressive growth investors. There is no evidence, however, that these institutions cause an “overreaction” to earnings news. Ownership structure is also related to trading volume and to stock price volatility on days around earnings announcements. Our findings are consistent with the idea that the composition of institutional shareholders effects stock price behavior around the release of corporate information.     

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.     

The effect of restatements on trading volume reactions to earnings announcements

This paper examines whether restatements affect trading volume reactions to subsequent earnings announcements. It closely follows the theoretical model developed by Kim and Verrecchia (J Account Econ 24:395–419, 1997) that decomposes the trading volume reactions around earnings announcements into the effects of pre-disclosure and event-period private information, and examines whether restatements change the trading volume reactions to earnings announcements in the post-restatement period. We find that restatements increase the degree of differential event-period information, leading to more divergent interpretation of earnings announcements subsequent to restatements. We also find that investors have less differential pre-disclosure private information in the post-restatement period, consistent with the view that investors’ beliefs converge when facing higher uncertainty in the information environment. Finally, focusing on irregularity restatement firms, we document that the effect of restatements on trading volume is more pronounced for firms announcing restatements after the passage of the Sarbanes–Oxley Act and after dismissing auditors and experiencing executive turnover. Overall, these results indicate that restatements affect investors’ behavior in forming judgments regarding earnings announcements.     

Investor Inattention and Friday Earnings Announcements

Does limited attention among investors affect stock returns? We compare the response to earnings announcements on Friday, when investor inattention is more likely, to the response on other weekdays. If inattention influences stock prices, we should observe less immediate response and more drift for Friday announcements. Indeed, Friday announcements have a 15% lower immediate response and a 70% higher delayed response. A portfolio investing in differential Friday drift earns substantial abnormal returns. In addition, trading volume is 8% lower around Friday announcements. These findings support explanations of post‐earnings announcement drift based on underreaction to information caused by limited attention.     

Individuals’ Trading Prior to Earnings Announcements

This paper investigates the relationship between individuals’ net trading and stock price movements before and after annual earnings announcements for the Taiwan Stock Exchange. We conduct an event study on the effects of pre‐event individual trade imbalances on pre‐ and post‐announcement abnormal returns. With a unique and comprehensive dataset, we accurately classify executed orders by aggressiveness of order price. The evidence indicates that while individuals, as a group, are not informed about impending earnings announcements, individuals who place aggressive orders are informed as their net trading coincides with contemporaneous and future stock returns. Aggressive individuals lose their edge during the financial crisis. More importantly, the advantage (disadvantage) for individuals who adopt aggressive (passive) orders weakens when foreign institutions own concentrated equity in firms. We also find that net individual trading contains information about abnormal returns that either past returns or volume does not subsume. Controlling for past returns, trading volume and volatility, or using an alternative measure of net individual trading does not change our conclusions.     

Earnings Announcements,Stock Price Adjustment,and the Existence of Option Markets

This paper employs a new approach to study the effects of option trading on the behavior of underlying stock prices. Extant research compares distributional properties of the stock price at two points in time divided by an event in the option market that might affect price behavior. As an alternative, we examine the stock price adjustment to the release of quarterly earnings using samples of firms with and without listed options. We find the two samples exhibit different adjustment processes, with the nonoption firms requiring substantially more time to adjust.     

Information costs and liquidity effects from changes in the FTSE 100 list

Abstract

In this paper we examine the stock price effect of changes in the composition of the FTSE 100 over the time period of 1984–2001. Like the S&P 500 listing studies, we find that the price and trading volume of newly listed firms increases. The evidence is consistent with the information cost/liquidity explanation. This is because investors hold stocks with more available information, implying that they have lower trading costs. This explains the increase in the stock price and trading volume of newly listed stocks to the FTSE 100 List. We find the reverse effect for the deletions from the FTSE 100.     

Information-based stock trading and managerial incentives: evidence from China's stock market

This paper uses stock price informativeness, or information-based stock trading, to help explain the pay–performance sensitivity (PPS) of chief executive officer (CEO) compensation in China's listed firms. We argue that higher stock price informativeness, which we measure by the probability of informed trading, helps and encourages shareholders to incentivize the top management team based on stock market performance. The regression results support our argument and show that a higher level of stock price informativeness is associated with higher CEO PPSs. Moreover, the impact of stock price informativeness on CEO incentives is stronger for privately controlled listed firms than it is for state-controlled listed firms. The results also hold when information asymmetry is approximated by the accuracy and dispersion of the earnings forecasts made by financial analysts.     

Rumors in the sky: Corporate rumors and stock price synchronicity

Using hand-collected rumor clarification announcements from Chinese listed firms to identify corporate rumors, we find that rumored firms have lower stock price synchronicity (R²) than do firms without rumors. Channel analyses reveal that rumors reduce stock price synchronicity through elevating investor sentiment rather than stimulating informed trading. Additionally, the negative association between corporate rumors and stock price synchronicity is more evident among firms with more individual investors and higher information opacity. Moreover, corporate rumors are associated with higher analyst forecast errors and forecast dispersion. Overall, our evidence suggests that corporate rumors reduce stock price synchronicity by increasing investor irrationality.     

The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?

Does face-to-face interaction still facilitate information transfer despite proliferating communication technologies? We use the COVID-19 collapse in such interactions to examine their influence on information flow in the stock market around earnings announcements. Using daily, county-level abnormal mobility of U.S. residents to proxy for face-to-face interaction, we find that firms located in counties with lower abnormal mobility experience a weaker immediate price reaction to earnings announcements and a larger post-announcement drift. Our findings suggest that lower face-to-face interactions dampen price discovery in financial markets, and that investor attention is a potential mechanism of this effect.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

Firm strategy and market reaction to earnings

We examine whether a firm's strategy affects the information content of the firm's earnings announcement. A cost leadership strategy is characterized by low sales margins coupled with large sales volumes, economies of scale and major investments in plant and physical assets, whereas a differentiation strategy involves high sales margins achieved through product quality and branding realized by investments in intangibles such as R&D and advertising. These characteristics of the strategies result in differential impact on investor reactions to new information that is revealed about firms. Our results show that firms pursuing a cost leadership strategy have earnings announcements that are more commonly interpreted and result in a greater change in the average belief about stock price. On the other hand, earnings announcements of firms pursuing a differentiation strategy result in more heterogeneous interpretation accompanied by a smaller change in the average belief about stock price. This paper advances our understanding of the cross-sectional variation in the market's reaction to earnings announcements. In addition, the paper demonstrates a predictable instance of divergence in the price reaction and trading volume reaction to an earnings announcement.     

Volatility Information Trading in the Option Market

This paper investigates informed trading on stock volatility in the option market. We construct non-market maker net demand for volatility from the trading volume of individual equity options and find that this demand is informative about the future realized volatility of underlying stocks. We also find that the impact of volatility demand on option prices is positive. More importantly, the price impact increases by 40% as informational asymmetry about stock volatility intensifies in the days leading up to earnings announcements and diminishes to its normal level soon after the volatility uncertainty is resolved.     

Options and earnings announcements: an empirical study of volatility, trading volume, open interest and liquidity

In this paper we study the impact of earnings announcements on implied volatility, trading volume, open interest and spreads in the stock options market. We find that implied volatility increases before announcement days and drops afterwards. Also option trading volume is higher around announcement days. During the days before the announcement open interest tends to increase, while it returns to regular levels afterwards. Changes in the quoted spread largely respond to higher trading volume and changes in implied volatility. The effective spread increases on the event day and on the first two days following the earnings announcement.     

Driven to Distraction: Extraneous Events and Underreaction to Earnings News

Recent studies propose that limited investor attention causes market underreactions. This paper directly tests this explanation by measuring the information load faced by investors. The  investor distraction hypothesis  holds that extraneous news inhibits market reactions to relevant news. We find that the immediate price and volume reaction to a firm's earnings surprise is much weaker, and post-announcement drift much stronger, when a greater number of same-day earnings announcements are made by other firms. We evaluate the economic importance of distraction effects through a trading strategy, which yields substantial alphas. Industry-unrelated news and large earnings surprises have a stronger distracting effect.     

Intra-Industry Reactions to Stock Split Announcements

We examine whether favorable information conveyed by stock split announcements transfers to nonsplitting firms within the same industry. On average, nonsplitting firms' shareholders experience positive and significant abnormal returns at the stock split announcements of their industry counterparts. In addition, industrywide and firm-specific characteristics are important determinants in explaining nonsplitting firms' stock returns. These firms' earnings increase significantly, and the earnings changes are positively related to the stock price reactions. Finally, we find no evidence that investors revise the value of nonsplitting firms because they anticipate a decline in earnings volatility.     

Earnings seasonality,management earnings forecasts and stock returns

We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings seasonality around earnings announcements (EAs) in Chinese A-share markets. We find that firms in historically low earnings seasons outperform firms in high earnings seasons by 2.1% around MEFs. Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs. MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns, volume and volatility around EAs. The reduction effects are stronger when MEFs are voluntary or made closer to EAs. The evidence suggests that MEFs facilitate the correction of investors’ tendency to extrapolate earnings seasonality and its resulted stock mispricing.     

O/S: The relative trading activity in options and stock

Relatively little is known about the trading volume in derivatives relative to the volume in underlying stocks. We study the time-series properties and the determinants of the options/stock trading volume ratio (O/S) using a comprehensive cross-section and time-series of data on equities and their listed options. O/S is related to many intuitive determinants such as delta and trading costs, and it also varies with institutional holdings, analyst following, and analyst forecast dispersion. O/S is higher around earnings announcements, suggesting increased trading in the options market. Further, post-announcement absolute returns are positively related to pre-announcement O/S, which suggests that at least part of the pre-announcement options trading is informed.     

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.