We analyze a dynamic model of informed trading where a shareholder accumulates shares in an anonymous market and then expends costly effort to change the firm value. We find that equilibrium prices are affected by the position accumulated by the shareholder, because the level of effort...

We propose a dynamic asset-market equilibrium model in which (1) an "innovative" asset with as-yet-unknown average payoff is traded, and (2) investors delegate investment to experts. Experts secretly renege on investors' orders and take on leveraged positions in the asset to manipulate...

This paper provides evidence that informed traders dominate the response of limit-order submissions to shocks in a pure limit-order market. In the market we study, informed traders are highly sensitive to spreads, volatility, momentum and depth. By contrast, uninformed traders are relatively...

This paper studies the effect of new fund flows on investment behavior and the resulting equilibrium price of risk. The Small Fund Industry model shows equilibria with overinvestment in unprofitable and underinvestment in profitable investment opportunities. The Large Fund Industry model derives...

This paper proposes the first tractable rational expectation equilibrium model that includes both endogenous price and endogenous execution probability. I use the model to examine the market outcome when the informed trader can split trades between an exchange and a crossing network (dark pool)...

This paper examines how individual investors' participation in short sale affects the efficiency of stock pricing using a unique regulatory change in Korea. The change enables individual investors to sell short some -- but not all -- domestic stocks, without affecting the short-selling ability...

This study investigates how commercial paper rates respond to the innovations in stock market risk premiums. The unrestricted vector autoregression (VAR) analysis of monthly data from 1997:1 to 2012:M6 shows that the changes in the one-, two-, and three-month non-financial and financial...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...

Competition among trading platforms has considerably reduced trading fees in stock markets. We show that this evolution is not necessarily beneficial to investors. Obviously it increases gains from trade when a trade happens. Less obviously, it can induce investors to post limit orders with a...

Crowded trades by similarly trading peers influence the dynamics of asset prices, possibly creating systemic risk. We propose a market clustering measure using granular trading data. For each stock the clustering measure captures the degree of trading overlap among any two investors in that...