Investor and (Value Line) Analyst Underreaction to Information about Future Earnings: The Corrective Role of Non-Earnings-Surprise Information

Prior research suggests that financial analysts' earnings forecasts and stock prices underreact to earnings news. This paper provides evidence that analysts and investors correct this underreaction in response to the next earnings announcement and to other (non-earnings-surprise) information available between earnings announcements. Our evidence also suggests that analysts and investors underreact to information reflected in analysts' earnings forecast revisions and that non-earnings-surprise information helps correct this underreaction as well. Controlling for corrective non-earnings-surprise information significantly increases estimates of the degree to which analysts' forecasting behavior can explain drifts in returns following both earnings announcements and analysts' earnings forecast revisions.     

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.     

Momentum Strategies

We examine whether the predictability of future returns from past returns is due to the market's underreaction to information, in particular to past earnings news. Past return and past earnings surprise each predict large drifts in future returns after controlling for the other. Market risk, size, and book–to–market effects do not explain the drifts. There is little evidence of subsequent reversals in the returns of stocks with high price and earnings momentum. Security analysts' earnings forecasts also respond sluggishly to past news, especially in the case of stocks with the worst past performance. The results suggest a market that responds only gradually to new information.     

Long-Run Performance following Private Placements of Equity

Public firms that place equity privately experience positive announcements effects, with negative post-announcement stock-price performance. This finding is inconsistent with the underreaction hypothesis. Instead, it suggests that investors are overoptimistic about the prospects of firms issuing equity, regardless of the method of issuance. Further, in contrast to public offerings, private issues follow periods of relatively poor operating performance. Thus, investor overoptimism at the time of private issues is not due to the behavioral tendency to overweight recent experience at the expense of long-term averages.     

POST-ANNOUNCEMENT DRIFTS ASSOCIATED WITH DIVIDEND CHANGES

In this paper I assess the presence of post-announcement drifts associated with dividend changes after controlling for earnings surprises. All quarterly cash dividend changes announced by firms listed on the New York Stock Exchange (NYSE) and American Stock Exchange (AMEX) from 1974 through 1989 are examined. The results show that significant post-announcement drifts associated with dividend changes are present after controlling for earnings surprises. However, the results are not conclusive on whether the market fully incorporates the simple time-series properties of dividends.     

Biased information weight processing in stock markets

The concepts of over- and underreaction are frequently used in behavioral financial research to explain investor behavior and resulting market phenomena. This research often makes arbitrary assumptions about which of the two biases is prevalent in a specific situation although psychological research offers more explicit insights. Investors overreact towards information of low weight and underreact if the information has high weight (high reliability). We propose a model that transfers these experimental findings to a financial market setting. Our time-series and cross-sectional empirical analyses support the hypothesis that investors misperceive information weight, which leads to short-term predictability in returns.     

Underreaction to Self-Selected News Events: The Case of Stock Splits

An emerging literature looking at self-selected, corporate newsevents concludes that markets appear to underreact to news.Recent theoretical articles have explored why or how underreactionmight occur. However, the notion of underreaction is contentious.We revisit this issue by focusing on one of the most simpleof corporate transactions, the stock split. Prior studies thatreport abnormal return drifts subsequent to splits do not appearto be spurious, nor a consequence of misspecified benchmarks.Using recent cases, we report a drift of 9% in the year followinga split announcement. We consider fundamental operating performanceas a source of the underreaction and find that splitting firmshave an unusually low propensity to experience a contractionin future earnings. Further, analysts' earnings forecasts arecomparatively low at the time of the split announcement andrevise sluggishly over time. Together these results are consistentwith the notion of market underreaction to the information incorporate news events.     

Financial reporting complexity and investor underreaction to 10-K information

We study the immediate and delayed market reaction to U.S. Securities and Exchange Commission (SEC) EDGAR 10-K filings. Unusual trading volumes and stock-price movements are documented during the days around the 10-K filing dates. The abnormal price movements are positively associated with future accounting profitability, indicating that 10-K reports contain useful information about future firm performance. In addition, investors’ reaction to 10-K information seems sluggish, as demonstrated by the stock-price drift during the 12-month period after 10-K filing. We find that investors’ underreaction tends to be stronger for firms with more complex 10-K reports.     

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.     

Reexamining momentum profits: Underreaction or overreaction to firm-specific information?

We design a new measure and find that the predictability of past returns on future returns increases as stocks respond with delay to firm-specific information. Our results suggest that momentum is caused by both investors’ underreaction and overreaction to information. However, underreaction to information seems to be the primary cause, particularly during the more recent period. Our findings are robust for recent explanations of momentum profits and alternative methods for computing our measure. We also find that stocks respond with delay to firm-specific information, partly due to certain firm characteristics, and partly because they escape investor attention due to their low visibility. Our paper extends and refines Jegadeesh and Titman’s (J Financ 56(2):699–720, 2001) finding that momentum profits are consistent with behavioral models’ predictions regarding investors’ overreaction.     

Analyst underreaction and the post-forecast revision drift

The post-forecast revision drift (PFRD), the phenomenon of delayed stock price reactions to analyst forecast revisions, is a well-documented market anomaly. Prior research attributes PFRD to underreaction by investors to analyst forecast revisions. This study investigates the role of the analyst forecast revision process itself in the PFRD anomaly. Using a large sample of US firms, we confirm prior findings of a positive serial correlation (momentum) in individual analysts’ revisions to their earnings forecasts and, based on both indirect and direct tests, document a positive association between this momentum and PFRD. Further analyses reveal that both the forecast revision momentum and PFRD vary in similar ways with respect to the nature of the news driving the revisions and the information environment. Collectively, our findings show that underreaction by individual analysts in the forecast revision process is an important contributor to the PFRD phenomenon.     

创业板投资行为分析

创业板具有更大的不确定性,行为心理的作用更为突出,因而行为金融学的解释更具说服力。本文通过引入保守性偏差的DHS模型分析发现,只有在满足条件时,才会产生反应过度,目前创业板仍处于调整中的反应不足状态。在主要机构投资者中,基金的保守性偏差最弱,归因性偏差最强,但基金行为整体还是比较理性的。与基金相比,个人投资者的保守性偏差较强,锚定效应更突出,这种行为心理使他们的投资行为明显滞后,在投资群体中处于弱势地位。     

Post-split underreaction: The importance of prior split history

The magnitude of the underreaction following a stock split is different depending on the number of splits that have already occurred. The first three splits are followed by abnormal profitability and significant underreaction, which are outcomes consistent with managers using splits to signal favorable information about the firm's prospects. However, abnormal profitability fails to materialize and the underreaction gradually dissipates with each subsequent split suggesting the efficacy of a split announcement as a vehicle to convey information is not constant but steadily reduces with each successive split. The underreaction is distinct from any short-term announcement effects and indicates the market does not immediately impound the split's information content. There is no significant change in liquidity around each consecutive split confirming that the underreaction is not explained by microstructure effects. As is the case with other corporate events, the market interprets the content of announcements already made multiple times differently from announcements made less often.     

Economic policy uncertainty,investor attention and post-earnings announcement drift

How the market incorporates information into stock price is a core issue in finance. This study focuses on the impact of economic policy uncertainty (EPU) on the stock prices information efficiency of China's A-share market and underlying role of investors' attention allocation mechanism. This study analyzes the information efficiency of stock prices using the sensitivity of stock cumulative abnormal return to earnings information across different windows following earnings announcement. Based on the earnings announcement events of listed companies in China's A-share market, this study presents an empirical study of the aforementioned issues using event study and regression analysis methods. The following results are seen: (1) EPU aggravates the underreaction of stock price earnings information and the post-earnings announcement drift in the A-share market. (2) Under highly uncertain economic policies, investors show a limited attention allocation pattern of devoting increasing attention to macroeconomic policies and decreasing attention to earnings information, which leads to a decrease in the information efficiency of stock price. This study also analyzes the heterogeneity of the influence of EPU on stock price information efficiency using the institutional shareholding ratio. The results show that increasing institutional shareholding does not reduce the adverse effects of EPU on the information efficiency of stock prices. This study not only provides empirical evidence for Brunnermeier, Sockin, and Xiong (2022) and rational inattention theory, but also reveals that institutional investors show similar behavioral characteristics to retail investors in China's stock market. The results of this study have policy significance for improving the information efficiency of stock market.     

Investor and Analyst Reactions to Earnings Announcements of Related Firms: An Empirical Analysis

In this article I examine the response of investors and analysts of nonannouncing firms to the earnings report of the first announcers in the industry. The error in the earnings forecast of the first announcer is found to be informative about the errors in the contemporaneous earnings forecasts of subsequent announcers in the industry. However, investors and analysts do not appear to fully incorporate the information from the first announcers' news in their revised earnings expectations for subsequent announcers. This apparent underreaction to the first announcers' news leads to predictable stock returns for subsequent announcers in the days following the first announcement. Results of this study can be seen as further evidence of investor and analyst underreaction to publicly available information.     

When does attention matter? The effect of investor attention on stock market volatility around news releases

We empirically investigate how retail and institutional investor attention is related to the way stock markets process information. With a focus on 360 US stocks in the S&P 500 universe, our results show that higher retail investors’ attention around news releases increases the post-announcement stock return volatility, whereas institutional investor attention has a small but negative impact on volatility on days following news releases on average over the cross-section of companies. These findings are in line with the hypotheses that attention of retail investors slows price-adjustments to new information and attention of institutional investors results in the opposite reaction. We show that these effects are heterogeneous in the type of news and the topic of the information being released. A portfolio allocation application highlights that these results are not only statistically significant but also sizeable in economic terms and can lead to an overperformance as large as dozens of basis points.     

Top investment banks,confirmation Bias,and the market pricing of forecast revisions

We investigate the impact of top investment banks (hereafter top IBs) on the pricing of forecast revisions through the investors' attention channel by examining the distraction effect and confirmation bias theories. The distraction effect theory predicts that investors' attention shifts to consensus revisions that align with revisions from top IBs, resulting in inattention to other revisions. This theory implies that top IBs primarily benefit investors by directing them to high-quality revisions. In contrast, the confirmation bias theory predicts that top IBs magnify market reaction to forecast revisions and benefit investors by partially offsetting investors' initial underreaction to revisions. Our findings indicate the presence of confirmation bias. We further examine the potential effects of the information content of revisions, analyst agreement, news sentiment, and information uncertainty to test the robustness of our results. Our findings suggest that top IBs ultimately contribute to the price discovery process by attracting investors' attention and this effect does not channel through the quality of consensus revisions.     

Option trading: Information or differences of opinion?

This paper investigates the motive of option trading. We show that option trading is mostly driven by differences of opinion, a finding different from the current literature that attempts to attribute option trading to information asymmetry. Our conclusion is based on three pieces of empirical evidence. First, option trading around earnings announcements is speculative in nature and mostly dominated by small, retail investors. Second, around earnings announcements, the pre-announcement abnormal turnovers of options seem to predict the post-announcement abnormal stock returns. However, once we control for the pre-announcement stock returns, the predictability completely disappears, implying that option traders simply take cues from the stock market and turn around to speculate in the options market. Third, cross-section and time-series regressions reveal that option trading is also significantly explained by differences of opinion. While informed trading is present in stocks, it is not detected in options.     

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.