Equilibrium in a Dynamic Limit Order Market

We model a dynamic limit order market as a stochastic sequential game with rational traders. Since the model is analytically intractable, we provide an algorithm based on Pakes and McGuire (2001) to find a stationary Markov-perfect equilibrium. We then generate artificial time series and perform com...

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Veröffentlicht in:The Journal of finance (New York) 2005-10, Vol.60 (5), p.2149-2192
Hauptverfasser: GOETTLER, RONALD L., PARLOUR, CHRISTINE A., RAJAN, UDAY
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container_end_page 2192
container_issue 5
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container_title The Journal of finance (New York)
container_volume 60
creator GOETTLER, RONALD L.
PARLOUR, CHRISTINE A.
RAJAN, UDAY
description We model a dynamic limit order market as a stochastic sequential game with rational traders. Since the model is analytically intractable, we provide an algorithm based on Pakes and McGuire (2001) to find a stationary Markov-perfect equilibrium. We then generate artificial time series and perform comparative dynamics. Conditional on a transaction, the midpoint of the quoted prices is not a good proxy for the true value. Further, transaction costs paid by market order submitters are negative on average, and negatively correlated with the effective spread. Reducing the tick size is not Pareto improving but increases total investor surplus.
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source Wiley-Blackwell Journals; JSTOR
subjects Algorithms
Bid prices
Business orders
Capital markets
Comparative analysis
Economic dynamics
Economic equilibrium
Economic models
Financial economics
Financial models
Game theory
Limit orders
Liquidity
Market equilibrium
Market orders
Market prices
Market surplus
Markov analysis
Statistical methods
Stochastic processes
Stock exchange
Studies
Time series
Trade
Transaction costs
title Equilibrium in a Dynamic Limit Order Market
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