In this paper, we examine whether sell-side financial analysts show a bias when translating their soft information into a hard format. Sell-side analysts produce both soft research output, in the form of a textual report, and hard research output, including earnings forecasts, target prices, and...

Previous papers have uncovered the existence of different information flows linked to the geographical location of portfolio investors. Yet, the potentially crucial interactions of multiple information flows linked to geographical location have not received much empirical scrutiny. The primary...

I examine the demand for public information by local and nonlocal investors. Using novel data on institutional investors’ requests for financial information from the SEC, I document that investors acquire approximately 20% more financial information for their local investments. This pattern...

This article develops and implements a new test to investigate whether sell-side analysts herd around the consensus when they make stock recommendations. Our empirical results support the herding hypothesis. Stock price reactions following recommendation revisions are stronger when the new...

We introduce the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature...

This paper demonstrates the relevance of strategy constraints on market makers to the possibility of financial market breakdown when there is information asymmetry between market makers and investors; both the case of competitive market makers and the case of a monopolistic market marker are...

We argue for incorporating the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise,...

We select a small set of recommendations that lie in the upper and lower tail of the empirical distribution of divergences between a recommendation, and the consensus over the window (-30, -1)-days prior to that recommendation. We classify these extremely divergent recommendations as bold, and...