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Discrete homotopy analysis for optimal trading execution with nonlinear transient market impact

机译:离散同伦分析可在非线性瞬态市场影响下实现最佳交易执行

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Optimal execution in financial markets is the problem of how to trade a large quantity of shares incrementally in time in order to minimize the expected cost. In this paper, we study the problem of the optimal execution in the presence of nonlinear transient market impact. Mathematically such problem is equivalent to solve a strongly nonlinear integral equation, which in our model is a weakly singular Urysohn equation of the first kind. We propose an approach based on Homotopy Analysis Method (HAM), whereby a well behaved initial trading strategy is continuously deformed to lower the expected execution cost. Specifically, we propose a discrete version of the HAM, i.e. the DHAM approach, in order to use the method when the integrals to compute have no closed form solution. We find that the optimal solution is front loaded for concave instantaneous impact even when the investor is risk neutral. More important we find that the expected cost of the DHAM strategy is significantly smaller than the cost of conventional strategies. (C) 2016 Elsevier B.V. All rights reserved.
机译:金融市场的最佳执行是如何及时递增交易大量股票以最小化预期成本的问题。在本文中,我们研究了存在非线性瞬态市场影响的最优执行问题。从数学上讲,该问题等效于解决一个强非线性积分方程,该方程在我们的模型中是第一类弱奇异的Urysohn方程。我们提出了一种基于同伦分析方法(HAM)的方法,通过该方法,行为良好的初始交易策略会不断变形以降低预期执行成本。具体而言,我们提出HAM的离散版本,即DHAM方法,以便在积分计算没有封闭形式解时使用该方法。我们发现,即使投资者是风险中立的,最优的解决方案也是预先加载以应对凹面的瞬时影响。更重要的是,我们发现DHAM策略的预期成本大大低于常规策略的成本。 (C)2016 Elsevier B.V.保留所有权利。

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