We examine how financial statement informativeness, analyst following, and news relate to the information asymmetry between insiders and outsiders. Corporations’ timely disclosures of value relevant information and information collection by outsiders reduce information asymmetry, limiting insiders’ ability to trade profitably on private information. We use the profitability and intensity of insider trades to proxy for information asymmetry. We find that increased analyst following is associated with reduced profitability of insider trades and reduced insider purchases. Financial statement informativeness is negatively associated with the frequency of insider purchases. However, company news, good or bad, is positively associated with insider purchase frequency.

[This paper documents a positive association between firms' tendencies to access capital markets and to disclose earnings forecasts, suggesting that firms attempt to mitigate potential consequences of differential information through disclosure. Our evidence also indicates that firms financing externally are not significantly more likely to forecast in the period shortly before an offering than at other times. Therefore, while firms that issue more capital tend to issue more forecasts, forces such as legal liability deter them from more frequent forecasting around the time of an actual offering. The paper also documents that management forecasts are not systematically greater than analysts' existing expectations, or than subsequently realized earnings. The data thus suggest that to the extent firms benefit from issuing favorable earnings forecasts when offering securities, competing forces such as potential legal liability and reputation costs deter them from issuing optimistic forecasts.]

We examine cross-sectional determinants of the informativeness of analyst research, i.e., their effect on security prices, controlling for endogeneity among the factors affecting informativeness. Analyst reports are more informative when the potential brokerage profits are higher (e.g., high trading volume, high volatility, and high institutional ownership) and lower when information processing costs (e.g., more business segments) are high. We also find that the informativeness of analyst research and informativeness of financial statements are complements.

Dichev and Tang [2009. Earnings volatility and earnings predictability. Journal of Accounting and Economics, this issue, doi:10.1016/j.jacceco.2008.09.005] document the predictive power of past earnings volatility for the persistence of current earnings. We revisit their findings to verify the incremental explanatory power of this effect and to study whether the predictive power of past earnings volatility is priced in stock returns. We also discuss motives for the study of earnings persistence. Our findings indicate that the relation between past earnings volatility and earnings persistence is robust to the additional controls and to a correction for sampling bias, but that earnings volatility does not predict stock returns.

Assessing the predictive ability of behavioral finance theories using out-of-sample data is important. Otherwise, the potentially boundless set of psychological biases underlying the behavioral explanations for security price behavior can lead to overfitting of theories to data. We test pricing effects attributed to two psychological biases, representativeness and conservatism, which underlie many behavioral finance theories. Using trends and consistency of accounting performance, we look for the pricing consequences of representativeness and conservatism. We find mixed evidence consistent with behavioral finance. Specifically, the theories based on representativeness are not supported, but we find some evidence of the pricing implications of conservatism.

We provide an economics-based review of the pros and cons of ESG disclosures, emphasizing environmental disclosures from an investor-centric perspective. Our survey intends to guide corporate management and regulators in navigating the ESG disclosure terrain. Rather than summarizing the vast and growing ESG literature, we assess the economic arguments for ESG disclosure regulation and the form of this disclosure. We discuss investors’ demand for ESG information and its supply by publicly traded firms. We analyze the case for and against mandatory ESG disclosure. Finally, we weigh the efficiency of disclosure requirement characteristics, assuming mandatory ESG disclosure is warranted. We intend to be positive rather than prescriptive, providing a line of reasoning readers can employ to reach their own conclusions about what we ought to do.

This study examines the usefulness of an analyst-based valuation model in predicting cross-sectional stock returns. We estimate firms' fundamental values (V) using I/B/E/S consensus forecasts and a residual income model. We find that V is highly correlated with contemporaneous stock price, and that the V/P ratio is a good predictor of long-term cross-sectional returns. This effect is not explained by a firm's market beta, B/P ratio, or total market capitalization. In addition, we find errors in consensus analyst earnings forecasts are predictable, and that the predictive power of V/P can be improved by incorporating these errors.

Reviews the book "Clean Surplus: A Link Between Accounting and Finance," by edited by Richard P. Brief and K.V. Peasnell.

In this study we examine the association among confirming management forecasts, stock prices, and analyst expectations. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. This study provides evidence that these voluntary disclosures affect stock prices and the dispersion of analyst expectations. Specifically, we find that the market's reaction to confirming forecasts is significantly positive, indicating that benefits accrue to firms that disclose such forecasts. In addition, although we find no significant change in the mean consensus forecasts (a proxy for earnings expectations) around the confirming forecast date, evidence indicates a significant reduction in the mean and median consensus analyst dispersion (a proxy for earnings uncertainty). Finally, we document a positive association between the reduction of dispersion of analysts' forecasts and the magnitude of the stock market response. Overall, the evidence suggests that confirming forecasts reduce uncertainty about future earnings and that investors price this reduction of uncertainty.