Managers often release earnings forecasts in advance of actual earnings announcements. It would appear that managers should at best be indifferent to such release given that the actual earnings will be disclosed at a future date. However, if the manager's objective is to maximize his firm's market value and he has control of production decisions, he may be motivated to release an earnings forecast. The reason is that the forecast release gives investors a more favorable assessment of the manager's ability to anticipate economic environment changes and to adjust production plans accordingly. Forecast release can thereby translate into a higher firm market value.

This paper examines how public disclosure affects private inforamtion acquisition activity in a market economy. We analyze a setting where traders with short-term investment horizons are allowed to trade on their private information prior to a public disclosure. We demonstrate in this setting that public disclosure stimulates investment in private information acquisition. This result is shown to have implications for the magnitude of the pre-announcement and announcement price reactions to the disclosure.

The prevailing belief in the marketplace holds that the choices of auditor and investment banker affect the price of an initial public offering. This belief reflects the idea that the auditor and investment banker quality provides information about the firm's true value. This paper presents a model giving this belief theoretical support. Under plausible conditions, it is shown that an entrepreneur with favorable information about his firm's value chooses a higher-quality auditor and investment banker than an entrepreneur with less favorable information. As a result, firm value is an increasing function of auditor and investment banker quality.

This paper analyzes the distribution of stock ratings at investment banks and brokerage firms and examines whether these distributions can predict the profitability of analysts’ recommendations. We document that the percentage of buys decreased steadily starting in mid-2000, likely due, at least partly, to the implementation of NASD Rule 2711, requiring the public dissemination of ratings distributions. Additionally, we find that a broker's ratings distribution can predict recommendation profitability. Upgrades to buy (downgrades to hold or sell) issued by brokers with the smallest percentage of buy recommendations significantly outperformed (underperformed) those of brokers with the greatest percentage of buys.

This paper presents evidence of anomalies in internet firms’ stock returns surrounding their quarterly earnings announcements. There is a general runup in prices in the days prior to the earnings announcements, followed by a price reversal lasting for several days. The magnitude of the market-adjusted returns associated with these price movements exceeds 11 percent over a 10-day period. We find little evidence to suggest that these returns can be explained either by the earnings news disclosed or by risk changes. Additional analyses suggest that these return patterns are driven, at least in part, by price pressure.