Relation Between Predisclosure Information Asymmetry and Trading Volume Reaction Around Quarterly Earnings Announcements

This study investigates the effects of differences in predisclosure information asymmetry on trading volume reaction during quarterly earnings announcements. The analyses show that trading volume reaction to quarterly earnings announcements is positively related to the level of predisclosure information asymmetry and to the magnitude of the price reaction to the announcements. These results are consistent with Kim and Verrecchia's (1991a) theoretical trading volume proposition, and with Atiase and Bamber's (1994) tests of the proposition based on annual earnings announcements. This study also provides evidence on the relation of predisclosure information asymmetry and trading volume before and after quarterly earnings announcements.     

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 Information Release on Stock Price Volatility and Trading Volume: The Rights Offering Case

This paper examines whether information released via rights offering announcements induces changes in price volatility and trading volume of underlying stock. The results of this paper provide support for the release of new information via offering announcements and evidence of its effects on price volatility and volume of underlying stock. Specifically, utilization of the announced information by investors is evidenced by greater trading volume following the announcement date than during the pre-announcement period. We interpret this result to mean that informedness dominates consensus. However, stock price volatility decreased from the pre-announcement period to the post-expiration period of rights offerings.     

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.     

Daily Closing Inside Spreads and Trading Volumes Around Earnings Announcements

This paper examines the determinants of inside spreads and their behaviour around corporate earning announcement dates, for a sample of UK firms over the period 1986–94. The paper finds that closing daily inside spreads are affected by order processing costs (proxied by trading volumes), inventory control costs (trading volumes and return variability) and asymmetric information (unusually high trading volumes). Inside spreads start to narrow 15 days before an earnings announcement, and narrow further by the end of the announcement day. We also identify a puzzling phenomenon. There is only a 'sluggish' recovery of spreads after the announcement: inside spreads continue to remain at relatively narrow levels, and take up to 90 days to recover to their pre–announcement width.     

Dividends and Market Signalling: an Analysis of Corporate Insider Trading

This study tests the multiple‐signal theory of dividends of John and Lang (1991) in the context of a European market. Our evidence shows that investors are more sensitive to insider trading signals than to signalled changes in existing dividends. In effect, the insider sales signal is universally understood as bad news. After controlling for the quality of a firm's investment opportunities, investors are found to penalise dividend outflows by mature firms that exhibit more informed insider sales activity. Finally, we offer an innovative exploration of the role of earnings announcements in market reaction to the dividend signal.     

Information Asymmetry Around Earnings Announcements

This study examines bid-ask spreads to determine how the anticipation and release of earnings announcements affect information asymmetry in the stock market. I use regression analysis and find that bid-ask spreads are negatively related to public information availability and positively related to earnings variability and the market reaction to prior unexpected earnings. The results suggest that firms for which earnings is expected to yield a relatively larger stock market reaction have greater information asymmetry than firms for which earnings are expected to yield a smaller market reaction.I also find that bid-ask spreads gradually increase in the four days prior to earnings announcements, and increase sharply the day prior to, the day of and the day after the earnings announcements. Bid-ask spreads seven to ten days after earnings announcements are not significantly different from bid-ask spreads seven to ten days prior to earnings announcements.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

Firm Size and the Information Content of Annual Earnings Announcements: Australian Evidence

Abstract:   We investigate the effect of firm size on the market's short‐window response to annual earnings announcements for a large sample of Australian listed companies. Our research design involves regressions of unexpected earnings against unexpected returns. Non‐linearity in the returns‐earnings relationship is incorporated and other factors known to affect the response to earnings announcements are controlled for. Contrary to prior US research, our results show that firm size has either no effect on the response to earnings announcements (3 day window) or the response is significantly stronger for larger firms (twenty‐one day window). The information content of earnings announcements is present across firm size categories but the nature of the response differs with firm size and context.     

Empirical Identification of Non-Informational Trades Using Trading Volume Data

This paper empirically identifies non-informational and informational trades using stock returns and trading volume data of the U.S., Japanese, and U.K. stock markets and five individual firms. We achieve the identification by imposing a restriction from theoretical considerations. Our results show that trading volume is mainly driven by non-informational trades, while stock price movements are primarily driven by informational trades. We also find that, around the 1987 stock market crash, trading volumes due to non-informational trades increased dramatically, while the decline in stock market prices was due mainly to informational trades. Increases in volatilities both in returns and in trading volumes during and after the crash are mainly due to non-informational trades. Regarding the trading volume-serial correlation in the stock returns relationship, we find evidence that is consistent with theoretical predictions that non-informational components can account for high trading volume accompanied by a low serial correlation of stock returns.     

Informed Trading Around Earnings Announcements: Another Look

This study is an empirical test of the Easley, O'Hara, and Srinivas (1998) multimarket sequential trade model of stock and option markets. We employ two approaches to determine the information content of signed stock and option trades executed around quarterly earnings announcements. The first approach expands the vector autoregression (VAR) technique of Hasbrouck (1991a) to include signed option trade volumes and inter‐trade durations. Estimates from the VAR models provide insight into whether both equity and option trades are viewed as informative by the equity specialist. The second approach focuses on the information content of the earnings releases to determine whether signed equity and option trades executed prior to the announcements are informed. Results indicate that although informed traders prefer to transact in both markets around earnings announcements, option market transactions contain no incremental information.     

Who Trades Around Earnings Announcements? Evidence from TORQ Data

Abstract:  Using TORQ database we investigate the intra-day trading volume reactions to earnings announcements of five trader groups, individuals, institutions, exchange members, program traders, and specialists. The results of this study indicate that institutions are most active in the immediate aftermath of an announcement. Individual investors are slow at the beginning but accumulate heavy volume afterwards and exceed institutional trading volume. We find support for Harris and Raviv (1993) and Admati and Pfleiderer (1988) , who respectively argue that divergence of opinion about a public information and portfolio rebalancing cause surges in pre- and post-announcement trading volume. Further we find evidence of swift and aggressive trading by informed and sophisticated institutions in the immediate aftermath of the announcement, and delayed, aggressive trading volume 'overreaction' by 'slow' and 'overconfident' individual investors as documented by Barber and Odean (2000 and 2002) and Daniel et al. (1998) . NYSE specialists provide the bulk of the liquidity needs around earnings announcements.     

证券交易的透明度与信息揭示制度：理论综述

证券交易过程中，交易信息的发布、扩散和传递方式对于各类市场参与者非常重要。目前关于信息揭示制度和交易透明度对市场运行效果的影响尚存在许多争议。本文讨论了交易透明度的含义、研究者和市场机构对于交易透明度的争论、交易透明度与市场绩效的关系，以及不同交易透明性的市场之间的竞争等问题，系统总结了目前与证券交易透明度和交易信息揭示有关的理论观点，以期把握交易信息揭示程度对市场产生的影响，以及由此引起的交易透明度对市场的运行效率产生的影响。     

Insider Trading and Corporate Information Transparency

Our study examines the relation between insider trading and corporate information transparency. We find a negative relation between firms’ information transparency and the economic significance of insider trading, including the amount of insider purchase and sale and the profitability of insider transactions. We also find a negative relation between information transparency and stock price reaction to news of insider trading, which suggests that increases in information transparency preempt insiders’ private information. Our study provides evidence consistent with firms’ transparency-enhancing activities decreasing information asymmetry between insiders and investors by revealing insiders’ private information to investors in a timely manner.     

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.     

交易透明度对证券场外交易信息效率的影响

黑池交易系统(Dark Pools)是美国近年发展较快的非公开交易平台,其信息透明度较低,可提供匿名交易的服务,并由此实现信息的非公开传递。通过扩展后验信念收敛速率的模型来描述不同交易透明度下场外市场的信息显示速率,发现私人信息与公共信息共存有利于信息更快地显示,因而私人信息渠道与公共信息渠道共存有利于提升信息效率,由此解释了非公开交易平台的价值,也为我国场外市场的分层发展提供可行建议.     

证券交易所交易信息权利的法律保护研究

证券市场的有效性依赖于及时、准确和完整的交易信息，如何发布和管理交易信息关乎整个证券市场的发展，尤其是对提升证券交易所的核心竞争力至关重要。本报告总结了我国证券市场的实践，分析了交易信息的产生机制，阐释了交易信息的法律属性，总结了国际上对交易信息保护的基本经验，提出了加强我国交易信息权利保护的具体措施，并形成拟提交东亚证券交易所联合会进一步研究、讨论的《关于加强证券交易信息保护的行动纲要（草案）》。     

The Dynamic Relation Between Stock Returns, Trading Volume, and Volatility

We examine the dynamic relation between returns, volume, and volatility of stock indexes. The data come from nine national markets and cover the period from 1973 to 2000. The results show a positive correlation between trading volume and the absolute value of the stock price change. Granger causality tests demonstrate that for some countries, returns cause volume and volume causes returns. Our results indicate that trading volume contributes some information to the returns process. The results also show persistence in volatility even after we incorporate contemporaneous and lagged volume effects. The results are robust across the nine national markets.     

期货市场的交易量与价格波动

本文检验了美国期货市场WTI原油、S＆P500指数和10年期国债品种的日内、日间价格波动与日内交易量、隔日交易量之间的关系,发现预期的日内和隔日交易量都有平抑期货市场价格波动的作用,非预期的隔日交易量与期货价格波动之间有正相关关系,非预期的目内交易量对价格波动的影响不显著。从信息对称性的角度分析,预期的交易量中含有更多信息,能抑制期货价格的偏离;非预期的交易量主要由信息反馈者提供,他们往往对期货价格的变动做出过度反应,从而加剧价格波动。     

Explaining Intraday Pattern of Trading Volume from the Order Flow Data

Based on a comprehensive order flow data from the Taiwan stock market, this study examines directly how the intraday pattern of trading volume is related to the trading behavior of both informed and uninformed traders. The results indicate that both informed and uninformed investors have a strong desire to place orders at the market open and the close. Most of the orders at the market open are conservative and hence are waiting orders for price priority. The findings show that intraday trading volume as well as the real orders from both types of investors are J-shaped. In addition, both information and liquidity trading can explain the intraday pattern of trading volume. However, the impact of liquidity trading on volume is slightly higher than that of information trading.