Information Diffusion and Overreaction: Evidence from the Chinese Stock Market

This paper empirically examines the relation between overreaction and the speed of information diffusion in the Chinese stock market. Industry-adjusted firm size and residual analyst coverage are used to proxy the speed of information diffusion. We document strong evidence that the profitability of a monthly contrarian strategy decreases with industry-adjusted firm size or residual analyst coverage. Moreover, the profitability of contrarian strategies survives for a longer horizon for stocks with slower information diffusion than for those with faster information diffusion. This result holds true even if risk, bid-ask spread, lead-lag effect, inventory costs, and limits to arbitrage are properly accounted for. Our findings suggest that information environment and information diffusion determine the extent of overreaction.     

Sell‐Side Analyst Research and Stock Comovement

We document that a stock's price around a recommendation or forecast covaries with prices of other stocks the issuing analyst covers. The effect of shared analyst coverage on stock price comovement extends beyond analyst activity days. A stock's daily returns covary with the returns of other stocks with which it shares analyst coverage. These links between stock price comovement and shared analyst coverage are consistent with the coverage‐specific information we find in earnings forecasts; analysts who cover both stocks in a pair expect future earnings of the stocks to be more highly correlated than do analysts who cover only one stock from the pair. Collectively, our evidence indicates that analyst research produces coverage‐specific spillovers that raise price comovement among stocks that share analyst coverage. The strength of these spillovers is comparable to spillovers from broad industry and market information in analyst research.     

Do Industries Explain Momentum?

This paper documents a strong and prevalent momentum effect in industry components of stock returns which accounts for much of the individual stock momentum anomaly. Specifically, momentum investment strategies, which buy past winning stocks and sell past losing stocks, are significantly less profitable once we control for industry momentum. By contrast, industry momentum investment strategies, which buy stocks from past winning industries and sell stocks from past losing industries, appear highly profitable, even after controlling for size, book-to-market equity, individual stock momentum, the cross-sectional dispersion in mean returns, and potential microstructure influences.     

Disposition effect and analyst forecast dispersion

Behavioral finance theories posit that behavioral biases are more pronounced when there is higher information uncertainty about fundamentals. This paper examines the relation between the disposition effect, the tendency to ride losses and realize gains, and dispersion in financial analysts’ earnings forecasts for a sample of large U.S. discount brokerage accounts from January 1991 to December 1996. I find that the disposition effect is exacerbated in stocks with higher analyst forecast dispersion. In particular, the disposition effect is 10% in stocks in the highest forecast dispersion quintile and not significant in the lowest forecast dispersion quintile. The driving factor behind these findings is investors’ higher propensity to realize gains when facing higher information uncertainty. The results are robust to controlling for firm size, analyst coverage, idiosyncratic volatility, turnover, and past market-adjusted returns. The results provide supportive evidence for a behavioral bias explanation of the disposition effect consistent with mean-reversion beliefs for winners and loss actualization avoidance for losers.     

Business strategy,stock price informativeness,and analyst coverage efficiency

We examine how business strategy affects stock price informativeness which in turn influences analyst coverage efficiency. Using stock price synchronicity and the probability of informed trading as proxies for stock price informativeness, we show that stock prices of prospectors are less informative than those of defenders. Next, we explore two channels through which business strategy influences analyst coverage efficiency. We first test and find support for an information transfer channel, i.e., the higher stock price synchronicity of prospectors facilitates more information transfer by analysts, resulting in higher analyst coverage efficiency of prospectors than defenders. Next, we test and find support for an informed trading channel, i.e., the higher probability of informed trading on stocks of defenders intensifies competition between informed traders and analysts. Such competition adversely affects analyst coverage efficiency, leading to lower analyst coverage efficiency of defenders than prospectors. Our findings are robust to an array of robustness checks including 2SLS/IV tests, differences‐in‐difference tests, and high‐tech industry sensitivity analyses.     

Online Search Frequency,Retail Investor Overreaction,and the Cross-Section of Stock Returns: Evidence from the Chinese Stock Market

I find a strong negative relation between online search frequency and future returns on the Chinese stock market. I suggest that this effect captures retail investor overreaction to unexpected signals, because online search frequency reflects the efforts made by investors to obtain firm-specific knowledge. The effect is particularly strong in stocks with high information uncertainty (high analyst dispersion, big past earnings surprises, low analyst coverage, and large trading volume), whose intrinsic values are difficult or costly for investors to estimate. Online search frequency as a direct indicator of retail investors’ reaction to signals also sheds light on the idiosyncratic volatility (IVOL) puzzle. I find that this puzzle is more pronounced in high-search-frequency subsamples and disappears in low-search-frequency subsamples. Further evidence shows that high search frequency strengthens the negative IVOL effect in stocks with positive signals but weakens this effect in stocks with negative signals. I suggest that the IVOL puzzle in the Chinese market can be partially explained as a reversal following overreaction to positive signals by retail investors.     

The Two Faces of Analyst Coverage

We find that positive excess (strong) analyst coverage is associated with overvaluation and low future returns. This finding is consistent with the view that excessive analyst coverage, driven by investment banking incentives and analyst self-interests, raises investor optimism causing share prices to trade above fundamental value. However, weak analyst coverage causes stocks to trade below fundamental values. This finding indicates that investors tend to believe that these firms are more likely to be plagued by information asymmetries and agency problems. The results remain robust after controlling for the possible endogenous nature of analyst coverage and analysts' self-selection bias.     

Informed trading,information uncertainty,and price momentum

In this paper we investigate the effects of informed trading (PIN) and information uncertainty in determining price momentum. We find that trading strategies based on buying high-uncertainty good-news stocks and shorting high-uncertainty bad-news stocks work well when limited to high-PIN stocks, while stocks with low-PIN do not exhibit price continuations, even when the uncertainty level of those stocks is high. In contrast, momentum returns are always significant for high-PIN stocks, irrespective of information uncertainty. Overall, we show that the informed trading effect is both independent of and stronger than that of information uncertainty in determining price momentum.     

Media Coverage and the Cross-section of Stock Returns

By reaching a broad population of investors, mass media can alleviate informational frictions and affect security pricing even if it does not supply genuine news. We investigate this hypothesis by studying the cross-sectional relation between media coverage and expected stock returns. We find that stocks with no media coverage earn higher returns than stocks with high media coverage even after controlling for well-known risk factors. These results are more pronounced among small stocks and stocks with high individual ownership, low analyst following, and high idiosyncratic volatility. Our findings suggest that the breadth of information dissemination affects stock returns.     

Innovation links,information diffusion,and return predictability: Evidence from China

Based on the activities of patent citation in China, a novel type of cross-firm innovation links is generated to investigate the gradual diffusion of information along the innovation chain via tests of cross-sectional return predictability. Various signals are created to represent the value of the information contained in the innovation links; these signals are demonstrated to have robust cross-predictability for stock returns in both the cross-sectional regression model and portfolio strategies. The effect of predictability is found to be stronger for stocks with high institutional ownership and analyst coverage. Considering the minimum number of steps required to establish the cross-firm linkage, innovation links are further partitioned to represent different proximity of the linked firms. It is then found that information diffuses faster across closely-linked firms than across distantly-linked firms. Sophisticated investors are found to be able to properly process the relevant information and benefit from innovation links.     

Star Analysts,Overreaction, and Synchronicity: Evidence from China and the United States

This paper examines star analyst coverage, investor overreaction, and stock price synchronicity in the Chinese and US markets. In China, we find that star analyst coverage can induce investor overreaction, such that it is negatively correlated with price synchronicity. This overreaction effect is particularly pronounced for stocks with primarily individual investors. In contrast, in the United States, we find that star analyst coverage is positively related to synchronicity and is not significantly associated with investor overreaction. Our overall findings imply that the heterogeneous nature of investors in a market drives the association among star analyst coverage, overreaction, and stock price synchronicity.     

Active investment manager portfolios and preferences for stock characteristics

The present study investigates the stock characteristic preferences of institutional Australian equity managers. In aggregate we find that active managers exhibit preferences for stocks exhibiting high‐price variance, large market capitalization, low transaction costs, value‐oriented characteristics, greater levels of analyst coverage and lower variability in analyst earnings forecasts. We observe stronger preferences for higher volatility, value stocks and wider analyst coverage among smaller stocks. We also find that smaller investment managers prefer securities with higher market capitalization and analyst coverage (including low variation in the forecasts of these analysts). We also document that industry effects play an important role in portfolio construction.     

Trading behaviour and the performance of daily institutional trades

Using a unique database of daily trading activity, the present study examines the ability of active Australian equity managers to earn superior risk‐adjusted returns. We find evidence of superior trade performance, where performance is a function of stock size. Our findings indicate that active equity managers are able to successfully exploit private information more readily in stocks ranked 101–150 by market‐cap, where the degree of analyst coverage, information flows and market efficiency are lower than for large‐cap stocks. We also find evidence of manager specialization. Our evidence provides further support of the value of active investment management in Australian equities.     

A comprehensive long-term analysis of S&P 500 index additions and deletions

We investigate the long-term effects of S&P 500 index additions and deletions on a sample of stocks from 1962 to 2003 and find a significant long-term price increase for both added and deleted stocks, with deleted stocks outperforming added stocks. The long-term price increase for added stocks can be attributed to increases in institutional ownership, liquidity, and analyst coverage, and a decrease in the shadow cost in the long-term. However, while deletion has no significant effect on analyst coverage and shadow cost, we find a rebound in the institutional ownership and liquidity of deleted stocks. The difference in the long-term price increase of added and deleted stocks can be explained by analyst coverage and operating performance.     

Regulation and stock market quality: The impact of MiFID II provision on research unbundling

This paper investigates the effects produced by the unbundling of analyst research costs required by MiFID II on market quality, as measured by stock liquidity and price efficiency. We find that the payment of an explicit price for research is associated with a reduction in analyst coverage in the EU. Unexpectedly, the reduction is stronger for large-cap stocks. For mid- and large-cap stocks analyst coverage in the EU is still greater than in the US. The reduction in analyst coverage observed in the EU is part of a downward trend that initiated prior to MiFID II and contributes to close the gap between the two regions. We also find no change in the bid-ask spread for small-, mid- and large-cap stocks, and a slight increase for micro-cap stocks. We observe no significant change in price efficiency. Taken together our findings seem to suggest that there was an overproduction of research in Europe with the previous regulatory regime. However, the growth of passive management and index funds may also explain the observed decrease in coverage.     

Analyst coverage: Does the listing location really matter?

Using a count panel regression method, we find that the listing location really does matter as stocks listed on the main board (FTSE350) rather than the junior market (AIM) attract more analyst coverage than can be explained by existing factors, even when we control for listing requirements and the type of cross-listing. We also find that listing requirements have a significantly greater impact on the number of analysts following AIM companies rather than their FTSE350 counterparts. Moreover, pooling stocks from different listing locations can conceal additional differences in the determinates of analyst services for the main board and junior markets. For example, cross-listing on a stock exchange increases analysts coverage for FTSE350 stocks but not AIM stocks and listing on less transparent trading venues such as over the counter and alternative trading systems (dark pools) decreases analyst coverage, especially for AIM stocks.     

When is a MAX not the MAX? How news resolves information uncertainty

A well-known asset pricing anomaly, the “MAX” effect, measured by the maximum daily return in the past month, depicts stocks’ lottery-like features and investor gambling behaviour. Using the comprehensive stock-level Dow Jones (DJNS) news database between 1979 and 2016, we consider in a empirical setting how the presence of news reports affects these lottery-type stocks. We find an augmented negative relationship between MAX stocks without news and expected returns, whereby MAX with news coverage generates return momentum. The differing future return relationships between MAX stocks with and without news appears to be best explained by information uncertainty mitigation upon news arrival. Overall, our findings suggest that news plays a role in resolving information uncertainty in the stock market.     

Does international cross-listing improve the information environment

We investigate whether cross-listing in the U.S. affects the information environment for non-U.S. stocks. Our findings suggest cross-listing has an asymmetric impact on stock price informativeness around the world, as measured by firm-specific stock return variation. Cross-listing improves price informativeness for developed market firms. For firms in emerging markets, however, cross-listing decreases price informativeness. The added analyst coverage associated with cross-listing likely explains the findings in emerging markets, rather than changes in liquidity, ownership, or accounting quality. Our results indicate that the added analyst coverage fosters the production of marketwide information, rather than firm-specific information.     

Momentum and contrarian strategies in international stock markets: Further evidence

Previous studies have shown that market participants underestimate earnings growth for past winner stocks, and that growth stocks are more sensitive to earnings surprises. These findings suggest implementing momentum strategies with growth stocks. This study investigates linkages between value versus growth investment styles and momentum strategies in international markets. In addition, we extend Jegadeesh and Titman (2001)-type tests, which attempt to distinguish between competing explanations of the momentum phenomenon, to international market indices. Our full sample results show that momentum profits are concentrated in the growth indices, and that there is evidence of short-term overreaction in these and other indices that is subsequently corrected. Our subsample results are mixed; there is some evidence that the profitability of momentum (but not contrarian) strategies persists in the post-December 1987 period. However, unlike the earlier period, there is no evidence that markets overreact and that these overreactions are subsequently corrected.     

The long-term performance of index additions and deletions: Evidence from the Hang Seng Index

We investigate the long-term performance of firms added to or deleted from the Hang Seng Index from 1986 to 2008. The stocks newly deleted from the Hang Seng Index have abnormal returns over a 5-year holding period and the newly added stocks do not. The deleted stocks outperform the added stocks, with the difference resulting from poorly performing state-owned added stocks and better performing family-owned deleted stocks. The operating performance of the deleted stocks improves in the post-event period and that of the added stocks does not. The liquidity and beta of the added stocks decrease and the analyst coverage increases. Meanwhile, the liquidity and analyst coverage of the deleted stocks decrease. Regression analyses show that changes in operating performance are the most important factors explaining the long-term stock performance of added and deleted stocks.