This paper explores the role of news in financial markets with asymmetrically-informed traders. We study a continuous-time setting in which stochastic informa-tion about a privately-informed seller’s asset is revealed gradually to a market of traders. Traders ’ time preference for money is subject to random liquidity shocks generating future incentive to trade. Equilibrium prices are determined not only by traders ’ beliefs about the fundamental value of the asset, but also by expec-tations of future liquidity in the market. The equilibrium involves periods of no trade in which liquidity dries up: assets remain in the hands of a liquidity con-strained traders despite efficient gains from trade. The no-trade period ends in one of two ways: e...
This thesis comprises three essays on market microstructure, focusing on the issues of insider tradi...
This thesis focuses on private information dissemination and its impacts on financial markets. Speci...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
We develop a multi-period model of strategic trading in an asset market where traders are uncertain ...
The quality of information in financial asset markets is often hard to estimate. This paper analyzes...
This dissertation studies the effects of asymmetric information and learning on asset prices and inv...
This paper studies the behavior of traders and asset prices in a two-period Gaussian financial marke...
We provide evidence for the importance of information asymmetry in asset pricing by using three natu...
Previous works on asymmetric information in asset markets tend to focus on the potential gains in...
This paper examines how private information affects trading volume, the information content of tradi...
Previous works on asymmetric information in asset markets tend to focus on the potential gains in th...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
This paper studies how market signals---such as stock prices---can help alleviate the severity of th...
An asymmetric information model is introduced for the situation in which there is a small agent who ...
We study the use of trading strategies and their profitability in experimental asset markets with as...
This thesis comprises three essays on market microstructure, focusing on the issues of insider tradi...
This thesis focuses on private information dissemination and its impacts on financial markets. Speci...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
We develop a multi-period model of strategic trading in an asset market where traders are uncertain ...
The quality of information in financial asset markets is often hard to estimate. This paper analyzes...
This dissertation studies the effects of asymmetric information and learning on asset prices and inv...
This paper studies the behavior of traders and asset prices in a two-period Gaussian financial marke...
We provide evidence for the importance of information asymmetry in asset pricing by using three natu...
Previous works on asymmetric information in asset markets tend to focus on the potential gains in...
This paper examines how private information affects trading volume, the information content of tradi...
Previous works on asymmetric information in asset markets tend to focus on the potential gains in th...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
This paper studies how market signals---such as stock prices---can help alleviate the severity of th...
An asymmetric information model is introduced for the situation in which there is a small agent who ...
We study the use of trading strategies and their profitability in experimental asset markets with as...
This thesis comprises three essays on market microstructure, focusing on the issues of insider tradi...
This thesis focuses on private information dissemination and its impacts on financial markets. Speci...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...