This paper describes equilibrium interactions between dynamic portfolio rebalancing given a private end-of-day trading target and dynamic trading on long-lived private information. Order-splitting for portfolio rebalancing injects multifaceted dynamics in the market. These include autocorrelated order flow, sunshine trading, endogenous learning, and short-term speculation. The model has testable implications for intraday patterns in volume, liquidity, price volatility, order-flow autocorrelation, differences between informed-investor and rebalancer trading strategies, and for how these patterns comove with trading-target volatility and other market conditions
We study equilibria of dynamic over-the-counter markets in which agents are distinguished by their p...
Markets have internal dynamics leading to excess volatility and other phenomena that are difficult t...
In a dynamic model of financial market trading multiple heterogeneously in-formed traders choose whe...
This paper investigates the equilibrium interactions between trading targets and private information...
We present an equilibrium model of dynamic trading, learning, and pricing by strategic investors wit...
We propose a dynamic equilibrium model of limit order trading, based on the premise that investors s...
We study information spillovers in a dynamic setting with correlated assets owned by privately infor...
This paper analyzes the interaction between liquidity traders and informed traders in a dynamic mode...
We propose a dynamic competitive equilibrium model of limit order trading, based on the premise that...
This paper studies the outcome of a two-stage global game wherein a market-based asset price determi...
This paper studies the relation between order imbalances and daily returns of individual stocks. Our...
We consider informed traders in a limit order market for a single asset. The as-set has a common val...
Trading strategies translate goals and constraints of asset management into dynamic, intertemporal, ...
This study uses transaction records of index futures and index stocks, with bid/ask price quotes, to...
This paper presents a continuous-time model of intraday trading, pricing, and liquidity with dynamic...
We study equilibria of dynamic over-the-counter markets in which agents are distinguished by their p...
Markets have internal dynamics leading to excess volatility and other phenomena that are difficult t...
In a dynamic model of financial market trading multiple heterogeneously in-formed traders choose whe...
This paper investigates the equilibrium interactions between trading targets and private information...
We present an equilibrium model of dynamic trading, learning, and pricing by strategic investors wit...
We propose a dynamic equilibrium model of limit order trading, based on the premise that investors s...
We study information spillovers in a dynamic setting with correlated assets owned by privately infor...
This paper analyzes the interaction between liquidity traders and informed traders in a dynamic mode...
We propose a dynamic competitive equilibrium model of limit order trading, based on the premise that...
This paper studies the outcome of a two-stage global game wherein a market-based asset price determi...
This paper studies the relation between order imbalances and daily returns of individual stocks. Our...
We consider informed traders in a limit order market for a single asset. The as-set has a common val...
Trading strategies translate goals and constraints of asset management into dynamic, intertemporal, ...
This study uses transaction records of index futures and index stocks, with bid/ask price quotes, to...
This paper presents a continuous-time model of intraday trading, pricing, and liquidity with dynamic...
We study equilibria of dynamic over-the-counter markets in which agents are distinguished by their p...
Markets have internal dynamics leading to excess volatility and other phenomena that are difficult t...
In a dynamic model of financial market trading multiple heterogeneously in-formed traders choose whe...