Using stock returns around recommendation changes to measure the information produced by analysts, I find that analysts produce more firm-specific than industry-level information. Analysts produce more firm-specific information on stocks with higher idiosyncratic return volatilities. The amount of industry information produced by analysts increases with the absolute value of the stock’s industry beta and decreases with the stock’s idiosyncratic volatility. Other stocks in the industry also respond to the recommendation change, and the magnitude of the response increases with the absolute value of the industry beta of the recommended stock and that of other stocks in the industry. I also offer results on how investors may use analyst research more effectively and potentially improve their investment performance.

We examine how organizational form affects corporate payouts. Conglomerates pay out more than pure plays in both cash dividends and total payouts (cash dividends plus share repurchases). Furthermore, their payouts are more sensitive to cash flows compared to pure-play firms. The sensitivity of payouts to cash flow increases as the cross-segment correlation in a conglomerate decreases. Corporate payouts increase after mergers and acquisitions (M&As), especially among M&As in which acquirers and targets are less correlated. These results suggest that the coinsurance among different divisions of a conglomerate allows them to pay out more cash flow to their shareholders than pure-play firms.

This paper analyzes the optimal quality decision of a producer in a multi-period setting with reputation effects. Using a unique database of returns on real estate limited partnerships (RELPs), we empirically examine alternative theoretical predictions of optimal producer strategy. In particular, we test whether the producers in our market invest in reputation building by initially selling high quality goods and then lowering quality. Using a variety of statistical tests, we find evidence consistent with reputation building, both in the aggregate and for individual developers.

We examine the role of financial analysts in forming institutional investors' investment decisions. In our model, a fund manager invests in a stock based on the optimal weighting of reports created by a biased sell-side analyst and an unbiased buy-side analyst. The manager puts a higher weight on the buy-side analyst's report when the quality of the buyside analyst's information relative to that of the sell-side analyst increases, or when the sell-side analyst's degree of bias or uncertainty about the bias increases. Utilizing a unique dataset of U.S. equity funds, we find evidence supporting our model predictions on how fund managers weigh buy-side research relative to sell-side and independent research.