Asset Management

Evidence of excess volatilities of asset prices compared with those of market fundamentals is often attributed to speculative bubbles. This study demonstrates that bubbles could in theory lead to excess volatility, but it shows that certain variance bounds tests preclude bubbles as an explanation. The evidence ought to be attributed to model misspecification or inappropriate statistical tests. One important misspecification occurs if a researcher incorrectly specifies the time series properties of market fundamentals.

This paper analyzes the empirical behavior of stock-return volatilities prior to and subsequent to the ex-dates of stock splits. The evidence demonstrates rather unambiguously that there is, on the average, an approximately 30% "arbitrary" increase in the return standard deviations following the ex-date. The increase holds for both daily and weekly data, and it is not temporary. No explanatory confounding variables, such as institutional frictions affecting price observations, have been identified.

This paper adds to recent evidence on market inefficiency in processing information in earnings reports. It documents that short positions taken in sample stocks which did not report earnings by the date expected during the sample period, 1971–1976, would have been abnormally profitable, before transaction costs. This is because late reports, on average, revealed bad news which was not anticipated in market prices prior to the report date.

This paper attempts to contribute to two rapidly growing branches in economic theory: asset pricing and “overlapping generations” models. The model is formulated and it is shown that equilibrium prices exist, and some of their properties are discussed. Then the model is applied to an asymmetric information environment to see if randomness in the number of informed agents could confuse the uninformed. Surprisingly, it could not.

In this paper we examine the effect of filing form 10-K on EDGAR on the incidence of small and large trades.

We establish sufficient conditions for the recoverability and uniqueness of utility functions (preferences) generating consumption and asset demands in a two-period setting under uncertainty.

This paper compares the properties of dividend announcements and management earnings forecasts as predictors of earnings and firm value. First, the two predictors are compared on the basis of their ability to predict earnings. Then the information they convey about firm value is assessed by comparison of the performance of investment strategies based on values of the two predictors. Finally, the effects of dividend announcements on stock prices are considered.

Evidence is given in this paper which indicates that corporate insiders time their trades in their firms' stock relative to the date of the disclosure of their forecasts of annual earnings. Further, insiders earn abnormal returns to their joint trading and information dissemination activities, and the paper provides measures of these returns.

Over the years, there has developed a fairly substantial body of research on the time series of earnings. As a whole, this literature concludes that changes in (annual) accounting earnings are unpredictable, that is, earnings follow a "random walk." Based on this result, some inferences of economic substance (policy) have been claimed. In this paper we reconsider empirical issues which, at least to some extent, have been obscured by this conclusion.