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.
More papers in 2004 Meeting Papers from Society for Economic Dynamics Address: Society for Economic Dynamics Anne Stubing CV Starr Center for Applied Economics 269 Mercer Street, Room 303 New York University New York, NY 10003 Contact information at EDIRC. Series data maintained by Christian Zimmermann ().
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