Equilibrium in a Dynamic Limit Order Market

Ronald L. Goettler and Christine A. Parlour

No 757, 2004 Meeting Papers from Society for Economic Dynamics

Abstract: We model a dynamic limit order market as a stochastic sequential game. Since the model is analytically intractable, we provide an algorithm based on Pakes McGuire (2001) to find a stationary equilibrium, we generate artifical time series and perform comparative dynamics. As we know the data generating process, we can compare transaction prices to the true value of the asset, as well as explicitly determine the welfare gains accruing to investors. Due to the endogeneity of order flow, the midpoint of the quoted price is not a good proxy for the true value. Further, transaction costs paid by market order submitters are negative on average. As a policy experiment we consider the effect of a reduction in tick size, and find that it has a positive impact on investor surplus.

Keywords: computational economics; financial markets (search for similar items in EconPapers)
JEL-codes: C73 G1 (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:red:sed004:757

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