Short Interest,Returns, and Unfavorable Fundamental Information

Several months before information becomes public, the level of short interest contains value‐relevant information about publicly traded corporations. Short interest predicts future bad news, negative earnings surprises, and downward revisions in analyst earnings forecasts. This informational content is stronger for stocks that are harder to short. We also find that nearly half of the well‐known cross‐sectional relation between short interest and future stock returns is related to future changes in firms’ value‐relevant information. Our results suggest that short interest predicts future returns, in part, due to short sellers’ ability to uncover unfavorable information about firms.     

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.     

Market Segmentation and Cross‐predictability of Returns

We present evidence supporting the hypothesis that due to investor specialization and market segmentation, value‐relevant information diffuses gradually in financial markets. Using the stock market as our setting, we find that (i) stocks that are in economically related supplier and customer industries cross‐predict each other's returns, (ii) the magnitude of return cross‐predictability declines with the number of informed investors in the market as proxied by the level of analyst coverage and institutional ownership, and (iii) changes in the stock holdings of institutional investors mirror the model trading behavior of informed investors.     

Accounting-based downside risk and expected stock returns: Evidence from China

We document that earnings downside risk contains information on firms' future operating performance and is positively associated with expected stock returns in Chinese stock markets, and the return predictability of earning downside risk mainly comes from its accrual downside risk component. The pricing of earnings downside risk is especially evident among firms with more transparent information environment and stronger governance efficacy, such as large firms, non-high-tech firms, old firms, and firms with high analyst coverage. Lastly, we show that aggregated earnings downside risk and its components at the market level are all significantly and positively associated with subsequent stock market returns, which is consistent with the notion that the accounting-based downside risk measures contain information about future macroeconomic conditions.     

Earnings forecasts and idiosyncratic volatilities

We test the theoretical relation between idiosyncratic return volatilities and the volatilities of cash-flow news based on the expected returns on equity (ROE) for CRSP stocks over the period 1977–2008. Consistent with economic intuition, we find that using analyst forecasts of earnings is superior to using realized earnings to proxy for market expectations about future cash flow news. Our findings are consistent with a market where stock return volatilities are positively and asymmetrically related to changes in the volatilities of expectations for a fundamental driver of cash flow news (ROE). Our findings are robust after correcting for forecast biases, various fundamental variables, newly-listed and mature firms, and periods with and without earnings announcements.     

Short-sale constraints and informational efficiency to private information: A natural experiment

Exploiting a regulatory change in short-sale constraints (Regulation SHO) as a natural experiment, this paper examines the effect of short-sale constraints on informational efficiency of stock prices to private information. I find that short-sellers act as informed traders prior to forthcoming analyst news and trade on negative private information. When short-sale constraints are relaxed for pilot stocks (treatment group), both trading volume and stock price sensitivity increase prior to the analyst announcement for bad news but not for good news, relative to that of nonpilot stocks (control group). The findings are consistent with the Diamond and Verrecchia model that predicts that short-selling increases the speed of adjustment of stock prices to private negative information. In the cross-section, the effect of Reg SHO is stronger in stocks of firms with weak and uncertain information environments (i.e., small firms and firms with high analyst forecast dispersion).     

The Joint Cross Section of Stocks and Options

Stocks with large increases in call (put) implied volatilities over the previous month tend to have high (low) future returns. Sorting stocks ranked into decile portfolios by past call implied volatilities produces spreads in average returns of approximately 1% per month, and the return differences persist up to six months. The cross section of stock returns also predicts option implied volatilities, with stocks with high past returns tending to have call and put option contracts that exhibit increases in implied volatility over the next month, but with decreasing realized volatility. These predictability patterns are consistent with rational models of informed trading.     

Accounting Ratios and the Cross‐section of Expected Stock Returns

Under clean‐surplus accounting, the log return on a stock can be decomposed into a linear function of the contemporaneous log return on equity, the contemporaneous log dividend–price ratio (if the stock pays a dividend), and both the contemporaneous and lagged values of the log book‐to‐market equity ratio. This paper studies the implications of this decomposition for the cross‐section of conditional expected stock returns. The empirical analysis reveals that the log accounting ratios capture cross‐sectional variation in both the conditional mean and conditional variance of log stock returns, which is consistent with the decomposition. It also brings fresh insights to the relation between firm size (market equity) and conditional expected stock returns. The evidence indicates that the conditional median return increases with firm size, while the conditional return skewness decreases with firm size. Empirically, the skewness effect outweighs the median effect, leading to the well‐documented inverse relation between size and average returns. The results of out‐of‐sample tests suggest that investors could use the information provided by the observed values of the log accounting ratios to formulate more effective portfolio strategies.     

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.     

The Dynamics of Institutional and Individual Trading

We study the daily and intradaily cross‐sectional relation between stock returns and the trading of institutional and individual investors in Nasdaq 100 securities. Based on the previous day's stock return, the top performing decile of securities is 23.9% more likely to be bought in net by institutions (and sold by individuals) than those in the bottom performance decile. Strong contemporaneous daily patterns can largely be explained by net institutional (individual) trading positively (negatively) following past intradaily excess stock returns (or the news associated therein). In comparison, evidence of return predictability and price pressure are economically small.     

Predicting firm stock returns with customer stock returns: Moderating effects of customer characteristics

Based on the multiple regression model, this study examines the potential predictive effect of customer stock returns to firm stock returns and the moderating effect of diverse customer characteristics on the predictability. By using a sample of Chinese A-share manufacturing firms listed on the Shanghai stock exchange and Shenzhen stock exchange between 2009 and 2017, we find that customer stock returns positively predict firm stock returns in the subsequent month. Additional examinations reveal that the positive predictive effect of customer stock returns on firm stock returns is more intense for firm with high proportion of state-owned customers, customer stability, customer bargaining power and customer concentration than for those with low indicators. Overall, this study contributes to the growing literature on supply chain and predictability of stock returns by shedding light on the forecasting effect of customer stock returns on firm stock returns and the predictive heterogeneity owing to customer characteristics.     

More Than Words: Quantifying Language to Measure Firms' Fundamentals

We examine whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns. Our three main findings are: (1) the fraction of negative words in firm-specific news stories forecasts low firm earnings; (2) firms' stock prices briefly underreact to the information embedded in negative words; and (3) the earnings and return predictability from negative words is largest for the stories that focus on fundamentals. Together these findings suggest that linguistic media content captures otherwise hard-to-quantify aspects of firms' fundamentals, which investors quickly incorporate into stock prices.     

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.     

Do analysts affect bad news timeliness?

I investigate the effect of analysts on the speed with which bad news is reflected in earnings. Intuitively, the more analysts that cover a firm, the more costly it will be for the firm to keep bad news suppressed. Thus, analyst coverage should positively affect bad news timeliness (BNT) (but not necessarily the differential timeliness of bad news over good news, or conditional conservatism). Using brokerage house mergers as a natural experiment with a difference-in-differences design, I find that an exogenous decrease in analyst coverage decreases BNT; that is, analysts positively affect BNT. The decrease in BNT is robust to controlling for unobserved firm heterogeneity, using a propensity score matched sample, persists for up to three years after the brokerage house merger, and is stronger for firms with relatively low analyst coverage before the merger. The result improves our understanding of how analysts affect a firm's information environment.     

Are Short Sellers Informed? Evidence from the 2007–2008 Subprime Mortgage Crisis

This paper examines the short selling activities around financial firms’ announcements of asset write‐downs during the 2007–2008 subprime mortgage crisis. We find that short sellers accumulate short positions prior to write‐down announcements, and that stocks experience significantly negative returns around such announcements. These results suggest that the return predictability of short interests is due to short sellers’ informational advantage. Furthermore, we show that short sellers increase their positions significantly in the announcement month and keep increasing their positions afterward, suggesting the feedback effect of the disclosed write‐downs on financial firms’ existing exposures. The valuable information contained in the short interest should encourage regulators to mandate stock exchanges disclose short selling activities more frequently.     

The Credibility of Voluntary Disclosure and Insider Stock Transactions

We examine stock price reaction to voluntary disclosure of innovation strategy by high‐tech firms and its relation with insider stock transactions before the disclosure. We find that, despite the qualitative and subjective nature of strategy‐related disclosure, there is positive stock price reaction to the disclosure. The evidence suggests that investors view the disclosure as credible good news. We also find that the disclosure is associated with more positive stock price reaction when it is preceded by insider purchase transactions. This evidence is consistent with insider purchase enhancing the credibility of the disclosure. The credibility‐enhancing effect is found to be stronger for firms with higher degrees of information asymmetry (younger firms, firms with lower analyst following, loss firms, and firms with higher research and development (R&D) intensity). Our evidence also indicates that predisclosure insider purchase is associated with greater future abnormal returns, suggesting that managers are privy to good news shortly before the disclosure.     

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.     

Accrual quality,skill, and the cross-section of mutual fund returns

We use returns of actively managed mutual funds to document the link between accrual quality (AQ) and systematic (priced) risk. Despite compelling theoretical arguments, prior research finds no evidence that poor AQ commands a risk premium in the cross-section of realized stock returns. We argue that the previously obtained premium estimates are biased downward because, for a large portion of poor AQ stocks, higher expected returns are offset by the news of deteriorating fundamentals. We suggest that skilled mutual fund managers should be able to either avoid investing in stocks with deteriorating fundamentals or assign them lower portfolio weights. As a consequence, returns on their portfolios should better reflect the expected AQ risk premium. Our empirical evidence is consistent with these predictions.     

ASYMMETRIC COVARIANCE,VOLATILITY, AND THE EFFECT OF NEWS

We propose that covariance (rather than beta) asymmetry provides a superior framework for examining issues related to changing risk premiums. Accordingly, we investigate whether the conditional covariance between stock and market returns is asymmetric in response to good and bad news. Our model of conditional covariance accommodates both the sign and magnitude of return innovations, and we find significant covariance asymmetry that can explain, at least in part, the volatility feedback of stock returns. Our findings are consistent across firm size, firm leverage, and temporal and cross‐sectional aggregations.     

Changes in Non‐current Assets and in Property,Plant and Equipment and Future Stock Returns: The UK Evidence

We examine the effect of changes in non‐current operating assets (NCOA) and of changes in property, plant and equipment (PPE) on future abnormal stock returns using a sample of 21,549 UK non‐financial firm observations over the 1990–2012 event period. The results from a matching portfolio procedure and 4‐factor regressions indicate that abnormal returns from investing in a portfolio of low‐minus‐high quintile NCOA and PPE change firms are between 5.5% and 6.1%. This negative association is confirmed by cross‐sectional regressions. The economic significance of mispricing seems weaker than in the US and weaker than the mispricing of working capital accruals adjusted for depreciation in the UK. Changes in PPE drive the predictability of share returns with respect to changes in NCOA. There is no significant evidence that return predictability is stronger in less liquid firms. We find two strands of evidence that lend some support to behavioural explanations of predictability through overreaction to investment. On one hand, fundamental information about investment explains one‐third of the predictability of returns while, on the other, predictability is generally not significantly stronger in firms with high operating leverage as a proxy for risk.