I show that the production of information in financial markets is limited by the extent of risk sharing. The wider a stock's investor base, the smaller the risk borne by each shareholder and the less valuable information. A firm which expands its investor base without raising capital affects its...

This paper studies how strategic interaction between players can influence their decisions as to whether to acquire information and whether to reveal their private information to others. We show how a player can increase his utility by disclosing part of his private information, when such...

In this paper we survey the theoretical and empirical literature on market liquidity. We organize both literatures around three basic questions: (a) how to measure illiquidity, (b) how illiquidity relates to underlying market imperfections and other asset characteristics, and (c) how illiquidity...

This paper argues that a guru possessing a multi-dimensional informational advantage may want to truthfully report her opinion to the media to learn more out of the actions of other, sometimes better-informed traders.

We develop a new methodology to estimate herd behavior in financial markets. We build a model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the model using data on a NYSE...

This paper reviews the literature examining how costs of monitoring for, acquiring, and analyzing firm disclosures – collectively, “disclosure processing costs” – affect investor information choices, trades, and market outcomes. The existence of disclosure processing costs means that...

We investigate whether increased investor demand for financial information arising from higher market uncertainty leads to greater media coverage of earnings announcements. We also investigate whether greater coverage during times of higher uncertainty further destabilizes financial markets...

We study market breakdown in a finance context under extreme adverse selection with and without competitive pricing. Adverse selection is extreme if for any price there are informed agent types with whom uninformed agents prefer not to trade. Market breakdown occurs when no trade is the only...

This paper is concerned with how a front-running high-frequency trader (HFT) influences the large trader: whether and under what conditions the latter is harmed or benefited. We study, in the extended Kyle's model, the interactions between a large informed trader and an HFT who can predict the...

Neuropsychological studies propose that listeners unconsciously assess speakers’ trustworthiness via their facial expressions. Building on this theory, we investigate how investors respond to CEOs’ dynamic hemifacial asymmetry of expressions (HFAsy) shown on CNBC’s video interviews about...