Good News for Value Stocks: Further Evidence on Market Efficiency

This article examines the hypothesis that the superior return to so-called value stocks is the result of expectational errors made by investors. We study stock price reactions around earnings announcements for value and glamour stocks over a 5-year period after portfolio formation. The announcement returns suggest that a significant portion of the return difference between value and glamour stocks is attributable to earnings surprises that are systematically more positive for value stocks. The evidence is inconsistent with a risk-based explanation for the return differential.     

Inflation Illusion and Post-Earnings-Announcement Drift

This paper examines the cross‐sectional implications of the inflation illusion hypothesis for the post‐earnings‐announcement drift. The inflation illusion hypothesis suggests that stock market investors fail to incorporate inflation in forecasting future earnings growth rates, and this causes firms whose earnings growths are positively (negatively) related to inflation to be undervalued (overvalued). We argue and show that the sensitivity of earnings growth to inflation varies monotonically across stocks sorted on standardized unexpected earnings (SUE) and, consistent with the inflation illusion hypothesis, show that lagged inflation predicts future earnings growth, abnormal returns, and earnings announcement returns of SUE‐sorted stocks. Interestingly, controlling for the return predictive ability of inflation weakens the ability of lagged SUE to predict future returns of SUE‐sorted stocks.     

Extreme volumes and expected stock returns: Evidence from China's stock market

We examine the relation between extreme trading volumes and expected returns for individual stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange over the July 1994–December 2000 interval. Contrasted with the evidence obtained from the US data [J. Finance 56 (2001) 877], our results show that stocks experiencing extremely high (low) volumes are associated with low (high) subsequent returns. Moreover, this extreme volume–return relation significantly co-varies with security characteristics like past stock performance, firm size, and book-to-market values. In particular, stocks with extreme volumes are related to poorer performance if they are past winners, large firms, and glamour stocks than if they are past losers, small firms, and value stocks, respectively. These results are robust to both daily and weekly samples as well as stock exchange sub-samples. Although the liquidity premium hypothesis of Amihud and Mendelson [J. Financ. Econ. 17 (1986) 223] provides a partial explanation for the extreme volume–return relation, our results fit better the behavioral hypothesis of Baker and Stein [J. Financ. Mark. 7 (2004) 271].     

Informed local trading prior to earnings announcements

Do individual investors have better information about local stocks? Our results demonstrate that they do. Large trading imbalances by investors living close to a firm's headquarters predict the stock's earnings announcement return. Stocks with the most net buying by local investors average significantly higher market-adjusted announcement returns than stocks with the most net selling by local investors. This return difference is pronounced for small and medium-sized firms, but absent among large firms, which have significant analyst coverage. Local investors' information advantage comes at the expense of nonlocal traders.     

Do corporations manage earnings to meet/exceed analyst forecasts? Evidence from pension plan assumption changes

A significantly larger number of firms increase the expected rate of return on pension plan assets (ERR) to make their reported earnings meet/exceed analyst forecasts than would be expected by chance. In the short run, the stock market reacts positively to these firms’ earnings announcements, suggesting that investors fail to recognize that earnings benchmarks are achieved through ERR manipulation. In the long run, however, firms that employ this earnings management strategy significantly underperform control firms in both stock returns and operating performance.     

The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises

We investigate the stock returns subsequent to quarterly earnings surprises, where the benchmark for an earnings surprise is the consensus analyst forecast. By defining the surprise relative to an analyst forecast rather than a time‐series model of expected earnings, we document returns subsequent to earnings announcements that are much larger, persist for much longer, and are more heavily concentrated in the long portion of the hedge portfolio than shown in previous studies. We show that our results hold after controlling for risk and previously documented anomalies, and are positive for every quarter between 1988 and 2000. Finally, we explore the financial results and information environment of firms with extreme earnings surprises and find that they tend to be “neglected” stocks with relatively high book‐to‐market ratios, low analyst coverage, and high analyst forecast dispersion. In the three subsequent years, firms with extreme positive earnings surprises tend to have persistent earnings surprises in the same direction, strong growth in cash flows and earnings, and large increases in analyst coverage, relative to firms with extreme negative earnings surprises. We also show that the returns to the earnings surprise strategy are highest in the quartile of firms where transaction costs are highest and institutional investor interest is lowest, consistent with the idea that market inefficiencies are more prevalent when frictions make it difficult for large, sophisticated investors to exploit the inefficiencies.     

Earnings Announcements and Systematic Risk

Firms scheduled to report earnings earn an annualized abnormal return of 9.9%. We propose a risk‐based explanation for this phenomenon, whereby investors use announcements to revise their expectations for nonannouncing firms, but can only do so imperfectly. Consequently, the covariance between firm‐specific and market cash flow news spikes around announcements, making announcers especially risky. Consistent with our hypothesis, announcer returns forecast aggregate earnings. The announcement premium is persistent across stocks, and early (late) announcers earn higher (lower) returns. Nonannouncers' response to announcements is consistent with our model, both over time and across firms. Finally, exposure to announcement risk is priced.     

Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?

Prior research has documented that arbitrage activity significantly reduces or eliminates stock market anomalies. However, if anomalies arise due to unsophisticated investors’ behavioral biases, then these same biases can also apply to unsophisticated arbitrageurs and thereby disrupt the arbitrage process. Consistent with a disruption in the arbitrage process for the post‐earnings announcement drift anomaly, I document that the historically positive autocorrelation in firms’ earnings announcement news has become significantly negative for firms with active exchange‐traded options. For these easy‐to‐arbitrage firms, the firms in the highest decile of prior earnings announcement abnormal return (prior earnings surprise), on average, underperform the firms in the lowest decile by 1.59% (1.43%) at their next earnings announcement. Additional analyses are consistent with investors learning about the post‐earnings announcement drift anomaly and overcompensating. This study suggests that unsophisticated attempts to profit from a well‐known anomaly can significantly reverse a previously documented stock return pattern.     

Volatility spreads and earnings announcement returns

Prior research documents that volatility spreads predict stock returns. If the trading activity of informed investors is an important driver of volatility spreads, then the predictability of stock returns should be more pronounced during major information events. This paper investigates whether the predictability of equity returns by volatility spreads is stronger during earnings announcements. Volatility spreads are measured by the implied volatility differences between pairs of strike price and expiration date matched put and call options and capture price pressures in the option market. During a two-day earnings announcement window, the abnormal returns to the quintile that includes stocks with relatively expensive call options is more than 1.5% greater than the abnormal returns to the quintile that includes stocks with relatively expensive put options. This result is robust after measuring volatility spreads in alternative ways and controlling for firm characteristics and lagged equity returns. The degree of announcement return predictability is stronger when volatility spreads are measured using more liquid options, the information environment is more asymmetric, and stock liquidity is low.     

Stock index adjustments and analysts’ forecast optimism: A quasi-natural experiment on the CSI 300 Index

As stock index adjustments comprise a basic system of capital market, their potential influence on analysts’ earnings forecasts is worthy of research. Based on a research sample of 23 adjustments to the CSI 300 Index from June 2007 to June 2018 and the backup stocks announced during the same period, this study examines the impact of additions to stock index on analysts’ forecast optimism using a staggered difference-in-differences model. The research results show that after stocks are added to the stock index, analysts’ earnings forecast optimism about these stocks increases significantly. Cross-sectional analysis indicates that this increase is more significant when the market is bullish, institutional ownership is low, the ratio of listed brokerage firms is low, star analyst coverage is low, firms show seasoned equity offering activity, the ratio of analysts from the top five brokerage firms ranked by commission income is high, and the analysts’ brokerage firms are shareholders. However, analyst-level tests find that analysts’ ability helps to reduce the impact of additions to stock index on earnings forecast optimism. Furthermore, additions to stock index significantly increase analyst coverage and forecast divergence. Economic consequences tests find additions to stock index significantly increases stock price synchronization, which is partly mediated by analysts’ earnings forecast optimism. This study enriches the literature on the impact of basic capital market systems and analyst behavior. The findings suggest that investors should rationally evaluate analysts’ earnings forecasts for stocks added to the stock index and obtain further information from various channels to improve asset allocation efficiency.     

The relationship between size,book-to-market equity ratio,earnings–price ratio,and return for the Hong Kong stock market

In this paper, we investigate the relation between stock returns and β, size (ME), leverage, book-to-market equity ratio, and earnings–price ratio (E/P) in Hong Kong stock market using the Fama and French (FF) [J. Finance 47 (1992) 427] approach. FF find that two variables, size and book-to-market equity, combine to capture the cross-sectional variation in average stock returns associated with β, size, leverage, book-to-market equity, and E/P ratios. In this paper, similar to previous studies in Hong Kong and US stock markets, we find that β is unable to explain the average monthly returns on stocks continuously listed in Hong Kong Stock Exchange for the period July 1984–June 1997. But three of the variables, size, book-to-market equity, and E/P ratios, seem able to capture the cross-sectional variation in average monthly returns over the period. The other two variables, book leverage and market, are also able to capture the cross-sectional variation in average monthly returns. But their effects seem to be dominated by size, book-to-market equity, and E/P ratios, and considered to be redundant in explaining average returns when size, book-to-market equity, and E/P ratios are also considered. The results are consistent across subperiods, across months, and across size groups. These suggest that the results are not driven by extreme observations or abnormal return behavior in some of the months or by size groups.     

Inflation,earnings forecasts,and post-earnings announcement drift

We examine whether financial analysts fully incorporate expected inflation in their earnings forecasts for individual stocks. We find that expected inflation proxies, such as lagged inflation and inflation forecasts from the Michigan Survey of Consumers, predict the future earnings change of a portfolio long in high inflation exposure firms and short in low or negative inflation exposure firms, but analysts do not fully adjust for this relation. Analysts’ earnings forecast errors can be predicted using expected inflation proxies, and these systematic forecast errors are related to future stock returns. Overall, our evidence is consistent with the Chordia and Shivakumar (J Account Res 43(4):521–556, 2005) hypothesis that the post-earnings announcement drift is related to investor underestimation of the impact of expected inflation on future earnings change.     

Glamour versus value,market timing and firm performance: evidence from mergers and acquisitions

This study examines the performance of glamour versus value firms in M&As. Specifically, the current study takes into account the market timing to explore the performance of glamour versus value firms in M&As. Using the standard event study methodology with 1109 targets and 6980 bidders during the 2000–2013 period, the results show that glamour (value) firms are more likely to choose the hot (cold) market condition to engage in M&As for both targets and bidders. The evidence also reveals that the performance of glamour versus value firms is less sensitive to the market timing for targets. While glamour bidding firms obtain lower announcement returns, the losses are even more significant during long run post-announcement period. A further analysis indicates that bidders in general experience negative announcement returns in the hot market irrespective of glamour versus value firms. While glamour bidding firms obtain lower post-announcement returns in the hot market relative to their value counterparts, glamour bidders generate higher post-announcement returns during the cold market than value bidders. The regression analysis finds consistent results for bidders. Overall, this study sheds lights on the importance of the market timing on the performance of glamour versus value firms in M&As.     

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.     

Analyst Forecasts and the Cross Section of European Stock Returns

We examine revisions to earnings forecasts by equity analysts and their role in predicting stock returns. We provide evidence that European stocks with net upward revised forecasts earn higher future returns than otherwise similar stocks. This effect is not concentrated in small stocks, stocks with low analyst coverage, or stocks with low book‐to‐market ratios. We find differences in the return continuation patterns of stocks with upward versus downward revisions, namely, bad news travels quickly, but good news travels slowly. This result is consistent with investors' attaching greater significance to poor earnings forecasts, but adopting a wait‐and‐see approach to good news.     

Higher-Order Systematic Comoments and Asset Pricing: New Evidence

We provide evidence supporting Rubinstein's (1973) model that if returns are not normal, measuring risk requires more than just measuring covariance. Higher-order systematic comoments should be important to risk-averse investors who are concerned about the extreme outcomes of their investments. Our paper shows that the Fama-French factors [SMB (return on small stocks less the return on big stocks), HML (return on high book-to-market stocks less the return on low book-to-market stocks)] as well as the momentum and market liquidity factors can be explained by the higher-order systematic comoments, and it lends support to the traditional covariance risk-based theory without having to resort to behavior assumptions.     

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.     

Short-Selling Prior to Earnings Announcements

This paper examines short‐sales transactions in the five days prior to earnings announcements of 913 Nasdaq‐listed firms. The tests provide evidence of informed trading in pre‐announcement short‐selling because they reveal that abnormal short‐selling is significantly linked to post‐announcement stock returns. Also, the tests indicate that short‐sellers typically are more active in stocks with low book‐to‐market valuations or low SUEs. The levels of pre‐announcement short‐selling, however, mostly appear to reflect firm‐specific information rather than these fundamental financial characteristics. We believe that these results should encourage financial market regulators to consider providing more extensive and timely disclosures of short‐selling to investors.     

Earnings Response Coefficients and Dividend Policy Parameters

In a seminal paper. Ball and Brown (1968) documented a positive statistical association between earnings surprises and stock returns around an earnings announcement. They concluded that accounting earnings conveyed ‘useful’ information to the market. However, the question of how accounting earnings convey useful information is still being understood. Recent work on this topic has found that current accounting earnings aid investors and analysts in predicting future accounting earnings. Few studies, however, have examined the usefulness of current earnings for predicting other value-relevant attributes. A model by Ohlson (1989a) suggests that investors are also interested in the relationship between current earnings and future dividends. Ohlson's model is supported by empirical tests in this paper which show that the relationship between current earnings and future dividends is significant in explaining cross-sectional variation in earnings response coefficients (ERCs). A second result of interest is that information in dividends substitutes for that in accounting earnings. We find that dividend policy parameters reflect information contained in current earnings. These results add new insights on the information revealed through the analysis of ERCs. Consistent with logic presented here, a symmetrically opposite result is found with respect to dividend response coefficients. The informativeness of earnings (dividends) is found to be negatively (positively) related to the information content of dividends.     

Effects of early bond refundings: An empirical investigation of security returns

This paper examines bond-for-bond refundings and their effects on stock returns. Refundings can affect the reported income, cash flows (including taxes), dividend constraints and financial ratios of firms. For a sample of 36 NYSE and ASE firms that performed refundings between 1971 and 1980, stock returns were significantly higher than predicted (only) around the release of the quarterly earnings announcement that included the refunding's effects. While the refundings were found to have many characteristics that were hypothesized to benefit shareholders, only the change in earnings per share was found to be associated with the prediction errors. Further, there appears to be no refunding-related information released in the quarterly earnings announcement, except for the refunding gain. These results imply that a portfolio of refunding firms can be created in advance of the quarterly earnings announcement that will generate abnormal returns around the earnings announcement. Because trading rules are inconsistent with the concept of an efficient capital market, these results constitute an anomaly.