Optimal position-building strategies in Competition

Neil A. Chriss
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Abstract

This paper develops a mathematical framework for building a position in a stock over a fixed period of time while in competition with one or more other traders doing the same thing. We develop a game-theoretic framework that takes place in the space of trading strategies where action sets are trading strategies and traders try to devise best-response strategies to their adversaries. In this setup trading is guided by a desire to minimize the total cost of trading arising from a mixture of temporary and permanent market impact caused by the aggregate level of trading including the trader and the competition. We describe a notion of equilibrium strategies, show that they exist and provide closed-form solutions.
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竞争中的最佳阵地建设战略
本文开发了一个数学框架,用于在固定时间内建立股票仓位,同时与做同样事情的一个或多个其他交易者竞争。我们建立了一个博弈论框架,在交易策略空间中,行动集就是交易策略,交易者试图设计出对对手的最佳应对策略。在这种情况下,交易者希望最大限度地降低交易总成本,而交易总成本是由包括交易者和竞争者在内的总体交易水平对市场造成的暂时和永久性影响混合而成的。我们描述了均衡策略的概念,证明了它们的存在,并提供了闭式解。
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