EARNINGS ANNOUNCEMENTS,QUALITY AND QUANTITY OF INFORMATION,AND STOCK PRICE CHANGES

We analyze the informational effect of earnings announcements on stock price changes. Although prior studies postulate that the direction and magnitude of earnings surprises contribute to abnormal stock price changes, we attribute earnings surprises and subsequent stock price changes to the quality and quantity of available information. If a stock is followed by many financial analysts, the amount of information available to investors contributes to higher quality information, which in turn is reflected by a small earnings surprise. Furthermore, we demonstrate that as the quality and quantity of information increase, stock prices adjust more quickly, which sheds additional light on the post-earnings-announcement drift issue. Finally, cross-sectional analysis reveals that the flow of information, as measured by the rate of trading volume changes, and the stock of information, as measured by the number of financial analysts, contributes significantly to the variations in excess returns and return volatility. Traditional variables, such as earnings surprises, earnings reporting lag, and firm size, do not perform well.     

STOCK PRICE REACTIONS TO DIVIDEND AND EARNINGS ANNOUNCEMENTS: CONTEMPORANEOUS VERSUS NONCONTEMPORANEOUS ANNOUNCEMENTS

In this paper we examine stock price reactions to contemporaneous and noncontemporaneous dividend and earnings announcements. Overall, the stock price reaction to joint announcements is significantly greater than the reaction to just one signal. This implies that there is information content to two signals being given simultaneously, and that announcements are not perfect substitutes. Some evidence shows that the reaction to a joint announcement is approximately twice that to a noncontemporaneous announcement. On average, the stock price reaction to joint contradictory announcements is not significant. Finally, for joint announcements where only one of the two announcements is expected to affect the stock price significantly, the market reaction is determined by the nonzero signal.     

THE INTERACTION OF MONETARY POLICY AND STOCK RETURNS

The “irrational exuberance” of the stock market in the late 1990s led to a discussion of the appropriate policy response by monetary authorities. Any response would be contingent on the stock market reaction to policy shocks. In this study, I employ a structural vector autoregression to estimate the response of the stock market returns to innovations in the federal funds rate. The role of the stock market in the Federal Reserve policy rule can also be examined empirically.     

EARNINGS FORECAST REVISIONS ASSOCIATED WITH STOCK SPLIT ANNOUNCEMENTS

Recent studies document abnormal stock returns at stock split announcements. Three hypotheses related to expected future earnings—the trading range, attention, and signaling hypotheses—have been offered as explanations. Evidence has also been provided that splitting firms have greater postannouncement earnings growth than control nonsplitting firms. Using earnings expectation data from the Institutional Brokers Estimate System, significantly greater forecast revisions are found in this study for split firms than for control nonsplit firms. The difference is significantly related to abnormal stock returns of splitting firms.     

RISK, SEASONALITY AND THE ASYMMETRIC BEHAVIOUR OF STOCK RETURNS

For some time there has been a puzzle surrounding the seasonal behaviour of stock returns. This paper demonstrates that there is an asymmetric relationship between systematic risk and return across the different months of the year for both large and small firms. In the case of both large and small firms systematic risk appears to be priced in only two months of the year, January and April. During the other months no persistent relationship between systematic risk and return appears to exist. The paper also shows that when systematic risk is priced, the size of the systematic risk premium is higher for large firms than for small firms and varies significantly across the months of the year.     

NONLINEAR DYNAMICS AND THE DISTRIBUTION OF DAILY STOCK INDEX RETURNS

Three alternative models of daily stock index returns are considered: (1) a diffusion-jump process; (2) an extended generalized autoregressive conditional heteroskedasticity (GARCH) process; and (3) a combination of the GARCH and jump processes. Non-nested tests between the diffusion-jump process and a GARCH(1.1) process with t-distributed errors reject the diffusion-jump process, but do not always reject the GARCH process. Kolmogorov-Smirnov tests of fit, however, reject the GARCH(1,1)-t process for all cases. Nonlinear dependence is not removed for the value-weighted index and the S&P 500 stock index; therefore, deterministic chaos cannot be dismissed.     

STOCK PRICE AND DEGREE OF NEGLECT AS DETERMINANTS OF STOCK RETURNS

In prior research the neglected firm effect persists even after controlling for firm size. Several recent studies show that the size effect is a stock price effect. In the present study we investigate whether excess returns on neglected stocks are a manifestation of a stock price effect. Although material evidence supporting an independent neglected firm effect is still found, results are much weaker than in prior studies. Examining a large sample of New York Stock Exchange and American Stock Exchange stocks from 1977 to 1988, we find that both January and non-January months do not have a statistically significant neglect effect after controlling for a price effect.     

THE IMPACT OF UNEXPECTED EARNINGS AND DIVIDENDS ON ABNORMAL RETURNS TO EQUITY

This paper contributes to the empirical literature which documents the existence of a positive association between unexpected earnings and/or dividend announcements and abnormal returns to equity. The paper addresses some of the methodological limitations evident in the literature. In particular, one methodological difficulty encountered by previous studies is that since earnings and dividend announcements are usually made contemporaneously it is difficult to assess the marginal effect of either announcement on security returns. This problem is dealt with by constructing portfolios of securities which are randomized with respect to unexpected earnings (dividends), but which are systematically ranked on unexpected dividends (earnings). The results indicate that unexpected earnings announcements have a significant marginal impact on abnormal returns. In addition, there is evidence of an impact of unexpected dividends on returns, but it is weaker than unexpected earnings.     

SUSTAINABLE GROWTH AND STOCK RETURNS

We examine relations between sustainable growth and stock returns over 1964–2007. Findings indicate that high sustainable growth firms tend to have low default risk, low book‐to‐market ratios, and low subsequent returns. Of the four sustainable growth components, we find that the net profit margin is the major determinant of subsequent returns. Results persist after controlling for asset growth and capital expenditure growth. Additional tests indicate that the sustainable growth effect is attributable to risk and not to mispricing.     

EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.