Traders differ in speed and their speed differences matter. I model strategic interactions induced when high frequency traders (HFTs) have different speeds in an extended Kyle (1985) framework. HFTs are assumed to anticipate incoming orders and trade rapidly to exploit normal-speed traders'...

We study strategic trading by a blockholder who can intervene over time to influence the firm's cash flows. We consider the impact of asymmetric information on the incentives of the blockholder to trade, and study when information asymmetry increases blockholder ownership and leads to greater...

A common practice of banks has been to pool assets of different qualities and then sell a fraction of the newly created portfolios to investors. We extend the signaling model for single sales of risky assets to portfolio sales. We identify conditions under which signaling at the portfolio level...

News sentiment has been empirically observed to have impact on financial market returns. In this study, we investigate firm-specific news from the Thomson Reuters News Analytics data from 2003 to 2014 and propose an optimal trading strategy based on a sentiment shock score and a sentiment trend...

We propose an extension of the class of rational expectations bubbles (REBs) to the more general rational beliefs setting of Kurz (1994a,b). In a potentially non-stationary but stationarizable environment, it is possible to hold more than one (small-r) “rational” expectation. When rational...

We study the emergence of bubbles in a laboratory experiment with large groups of individuals. The realized price is the aggregation of the forecasts of a group of individuals, with positive expectations feedback through speculative demand. When prices deviate from fundamental value, a random...

This experiment examines forecasting behavior under varying information conditions to assess the extent to which traders in security markets incorporate information in trading activity to resolve fundamental uncertainty and to resolve higher-order uncertainty. Fundamental uncertainty refers to a...

We study the dynamics of a Lucas-tree model with finitely lived agents who 'learn from experience.' Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic boom-and-bust fluctuations around the...

We study the dynamics of a Lucas-tree model with finitely lived agents who "learn from experience." Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic boom-and-bust fluctuations around the...