Weather,institutional investors and earnings news

We examine how pre-announcement weather conditions near a firm's major institutional investors affect stock market reactions to firms' earnings announcements. We find that unpleasant weather experienced by institutional investors leads to more delayed market responses to subsequent earnings news. Moreover, unpleasant weather of institutional investors is associated with higher earnings announcement premia. The influence of institutional investors' weather is robust after controlling for New York City weather, extreme weather conditions, and firm local weather. Additional cross-sectional evidence suggests that the strength of this weather effect is related to institutional investors' trading behavior.     

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.     

Media heterogeneity and post‐earnings announcement drift: evidence from China

This paper examines how the Chinese stock market acts differently towards state‐controlled and market‐oriented media coverage. Using a setting of post‐earnings announcement drift, we find that information from state‐controlled media enters the stock price in a timelier manner, while the message from market‐oriented media needs more time to get a response from investors. The effect is also influenced by whether the type of news coverage is good or bad. Our findings suggest that the capital market underreacts when good news is reported by the market‐oriented media.     

投资者异质后验信念对股票价格影响的实证研究

过度自信程度不同的投资者因消息确认精度差异引起意见分歧,产生异质后验信念,导致投资者对股价高估或者低估。在此基础上,以盈余公告信息作为利好或利空消息,研究不同环境下异质后验信念对我国股票价格的影响。实证结果表明:不管在牛市还是在熊市环境下,异质后验信念均会对股价产生影响,当盈余公告为利好消息时,异质后验信念程度越高,当期股价被高估的程度越显著;当盈余公告为利空消息时,异质后验信念程度越高,当期股价被低估的程度越显著。此外,在盈余公告前投资者就对盈余消息作出了反映,但对好消息与坏消息的反映程度不同。     

Inconsistent Signals,Earnings Announcements,and Market Uncertainty

We test the proposition in Johnstone (2016) that new information may lead to higher, rather than lower, uncertainty about firms’ future payoffs. Based on the Bayesian rule, we hypothesize earnings news that is inconsistent with investors’ prior belief will lead to higher market uncertainty. Using earnings signals in the past few quarters to proxy for investors’ prior belief, we find supporting evidence that, relative to consistent earnings news, inconsistent news results in an increase in market uncertainty measured by implied volatility. Inconsistent earnings news has a larger effect on market uncertainty when prior beliefs are stronger and when the news is negative. Overall, our evidence highlights the importance of prior belief and inconsistent signals in understanding the effect of earnings news on market uncertainty.     

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 information content of stock splits

We develop a new methodology that controls for both the timing of annual earnings news (Asquith et al., 1989) and the performance prior to split announcements (Barber and Lyon, 1996) to evaluate the information content of stock splits. In contrast to existing evidence, we find that stock splits in aggregate are followed by positive abnormal future earnings growth, suggesting that stock splits contain information about future, rather than past, operating performance. When we use changes in breadth of institutional ownership as a new metric of information content to corroborate our findings, we find that splits with the greatest increase in breadth experience positive post-split abnormal returns and positive abnormal earnings growth. Together, our results suggest that some splits contain positive information about future performance, and that sophisticated market participants such as institutional investors are able to select these splits.     

Investor Information Demand: Evidence from Google Searches Around Earnings Announcements

The objective of this study is to investigate factors that influence investor information demand around earnings announcements and to provide insights into how variation in information demand impacts the capital market response to earnings. The Internet is one channel through which public information is disseminated to investors and we propose that one way that investors express their demand for public information is via Google searches. We find that abnormal Google search increases about two weeks prior to the earnings announcement, spikes markedly at the announcement, and continues at high levels for a period after the announcement. This finding suggests that information diffusion is not instantaneous with the release of the earnings information, but rather is spread over a period surrounding the announcement. We also find that information demand is positively associated with media attention and news, and is negatively associated with investor distraction. When investors search for more information in the days just prior to the announcement, preannouncement price and volume changes reflect more of the upcoming earnings news and there is less of a price and volume response when the news is announced. This result suggests that, when investors demand more information about a firm, the information content of the earnings announcement is partially preempted.     

Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs

We investigate the frictions that impede individual investors’ use of accounting information and, in particular, their costs of monitoring and acquiring accounting disclosures. We do so using an archival setting in which individuals are presented with automated media articles that report both current earnings news and past stock returns. Although these investors have earnings information readily available, we find no evidence that their trades incorporate it. Instead we find that their trading responds to the trailing stock returns presented in the articles. Our study raises questions about the efficacy of regulations that aim to aid less sophisticated investors by increasing their awareness of and access to accounting information.     

A new perspective on post‐earnings‐announcement‐drift: Using a relative drift measure

Prior research finds that there is a delayed reaction to both analyst‐based earnings surprises and random‐walk‐based earnings surprises. Focusing on the market reaction from the post‐announcement window, prior studies show that analyst‐based drift is larger than random walk‐based drift. This finding is counter‐intuitive if we believe large, sophisticated investors tend to trade on analysts’ forecast earnings news and thus react faster and more completely than smaller and less sophisticated investors react to random walk earnings news. In this study, we construct a relative measure of post‐earnings‐announcement drift (PEAD) (i.e., drift as a proportion of total market reaction to earnings news) which we refer to as the ‘drift ratio’, and we provide evidence, consistent with our intuition, that analyst‐based drift ratio is smaller (not greater) than random‐walk‐based drift ratio. We find that this difference is more pronounced in more recent periods and for firms with more sophisticated investors. Our approach to measure the PEAD is more intuitive than that in traditional PEAD literature. Our results thus complement existing research findings by utilizing the drift ratio measure to generate new insights about the drift phenomenon.     

Announcing the announcement

What drives investors’ attention? We study how far in advance earnings calendars are pre-announced and find that investors are more attentive to earnings news when such details are disclosed well ahead of time. This variation in investors' attention affects short-run and long-run stock returns, thereby creating incentives for firms to strategically pre-announce the report date on short notice when the earnings news is bad. Consistent with this idea, firms pre-announce their report dates well ahead of time when earnings are good and do it at the very last moment when earnings are bad. A trading strategy that exploits such variations yields abnormal returns of 1.5% per month.     

Uncertainty triggers overreaction: evidence from corporate takeovers

Behavioural finance models suggest that under uncertainty, investors overweight their private information and overreact to it. We test this theoretical prediction in an M&A framework. We find that under high information uncertainty, when investors are more likely to possess firm-specific information, acquiring firms generate highly positive and significant gains following the announcement of private stock and private cash acquisitions (positive news) while the market heavily punishes public stock (negative news) deals. On the other hand, under conditions of low information uncertainty, when investors do not possess private information, the market reaction is complete (i.e. zero abnormal returns) irrespective of the type of acquisition. Overall, we provide empirical evidence that shows that information uncertainty plays a significant role in explaining short-run acquirer abnormal returns.     

Effects of Preannouncements on Analyst and Stock Price Reactions to Earnings News

This study examines the effects of earnings preannouncements on financial analyst and stock price reactions to earnings news. Prior experimental research documents that when the signs of a preannouncement surprise and subsequent earnings announcement surprise are consistent (i.e., both either positive or negative), analysts make larger magnitude revisions to their future period earnings forecasts in response to the total earnings news conveyed in the preannouncement and earnings announcement than when the surprise signs are inconsistent. This study extends this research by examining a sample of actual preannouncements from 1993–1997 to determine whether the effects documented in laboratory settings manifest at the aggregate market level in stock prices and consensus analyst forecast revisions. Results indicate that after controlling for the sign of earnings news, sign of earnings, and sign of the earnings announcement surprise, stock prices and analyst forecast revisions respond more strongly when a preannouncement and subsequent earnings announcement elicit the same surprise signs than when the surprise signs are inconsistent. Further analysis indicates that the consistency of the signs of a preannouncement surprise and earnings announcement surprise is not associated with future earnings, suggesting that the magnified reaction of investors and analysts to consistent surprise signs is not a rational reaction to associations observed in market settings.     

The impact of litigation risk on the strategic timing of management earnings forecasts

This paper examines whether managers strategically time their earnings forecasts (MEFs) as litigation risk increases. We find as litigation risk increases, the propensity to release a delayed forecast until after the market is closed (AMC) or a Friday decreases but not proportionally more for bad news than for good news. How costly this behaviour is to investors is questionable as share price returns do not reveal any under‐reaction to strategically timed bad news MEF released AMC. We also find evidence consistent with managers timing their MEFs during a natural no‐trading period to better disseminate information.     

News release and the role of different types of investors

We examine how investors react to positive and negative news in the Chinese stock market. We show that positive news is followed by a reversal in stock price, while negative news reports are accompanied by a drift. Using a unique account-level dataset, we find that institutional investors' attention bias contributes to the market's absorption process for different types of news, which is different from the conclusion that the phenomenon is driven by retail investors in the U.S. market. We explain the differences between the two markets as the short-sale constraints induce the attention bias of institutional investors in China. Individual investors are not able to correctly judge the content of news reports, and act as a liquidity provider. We highlight the market regulation plays an important role in the process of investors analyzing information.     

Underreaction to Industry‐Wide Earnings and the Post‐Forecast Revision Drift

We test whether the post‐forecast revision drift is mainly attributable to investors’ underreaction to industry‐wide earnings news conveyed by analysts’ forecast revisions. We find a large drift associated with industry‐wide earnings news but no drift associated with firm‐specific earnings news. Consistent with the functional fixation hypothesis, we provide evidence that the post‐forecast revision drift is driven by investors’ underreaction to the higher persistence of industry‐wide earnings. Although prior research has focused on differential persistence of earnings components stemming from managerial reporting discretion, we provide evidence suggesting that investors do not fully understand the differential earnings persistence attributable to industry fundamentals.     

Conditional accounting conservatism and future negative surprises: An empirical investigation

We investigate whether conditional accounting conservatism has informational benefits to shareholders. We find some evidence that higher current conditional conservatism is associated with lower probability of future bad news, proxied by missing analyst forecasts, earnings decreases, and dividend decreases. Second, we find weak evidence that the stock market reacts stronger (weaker) to good (bad) earnings news of more conditionally conservative firms. Thus, we provide additional evidence that conditional conservatism affects stock prices.     

Detecting news in aggregate accounting earnings: implications for stock market valuation

How much news is there in aggregate accounting earnings? I provide evidence that earnings changes at the stock market level are correlated with new information about not only expected future cash flows but also discount rates. A comprehensive investigation of the link to discount rates reveals that aggregate earnings changes are tied to news about all components of the expected future stock market return, i.e., the real riskless rate, expected inflation, and the expected equity risk premium. Over the sample period studied, cash flow news and discount rate news in aggregate earnings changes covary positively and have offsetting impacts on stock market prices. As a result, stock market prices appear to be insensitive to aggregate earnings changes. The findings highlight the importance of separating cash flow news from discount rate news when evaluating the information content of accounting earnings at the stock market level. Overall, my study sheds new light on the informativeness and relevance of accounting earnings for valuation at the stock market level.     

Management Earnings Forecasts,Earnings Announcements,and Institutional Trading in China

Abstract:

In this study, we investigate the trading behavior of institutional investors in China according to management earnings forecasts (MEFs) and earnings announcements (EAs). MEFs are mandatory under the stringent regulatory framework in China. We find evidence that both MEFs and EAs have an effect on the market. However, MEFs have a bigger effect on the market than do EAs. According to a sample of semiannual observations of firms from 2003 to 2008, we find that changes in the stock ownership of institutions are positively associated with EAs but not significantly associated with MEFs. When we further examine the relations between institutional characteristics and trading strategies, we find that growth funds exploit the arbitrage opportunity of MEFs.     

Passive Institutional Ownership,R2 Trends,and Price Informativeness

A distinctive trend in the capital markets over the past two decades is the rise in equity ownership of passive financial institutions. We propose that this rise has a negative effect on price informativeness. By not trading around firm‐specific news, passive investors reduce the firm‐specific component of total volatility and increase stock correlations. Consistent with this hypothesis, we find that the growth in passive institutional ownership is robustly associated with the growth in market model R²s of individual stocks since the early 1990s. Additionally, we find a negative relation between passive ownership and earnings predictability, an informativeness proxy.