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A new operator splitting method for American options under fractional Black-Scholes models

机译:分数Black-Scholes模型下用于美式期权的算子拆分新方法

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摘要

A new operator splitting method is proposed for American options under time-fractional Black Scholes models. The fractional linear complementarity problem is split into two easy sub-problems, with the leading coefficients separated from the convolution sum and matched through a general correction step. The method is implementation friendly in the sense that one can easily modify a fractional European solver to obtain the proposed method, since the correction step is decoupled and is trivial to solve. The method is validated through numerical experiments and demonstrated to be superior to the traditional approach. The paper also provides numerical studies including the effect of fractional orders and the comparison of fractional models. (C) 2018 Elsevier Ltd. All rights reserved.
机译:针对时间期权Black Scholes模型,针对美式期权提出了一种新的算子拆分方法。分数线性互补问题被分解为两个简单的子问题,其中前导系数与卷积和分开,并通过常规校正步骤进行匹配。该方法是易于实现的,因为校正步骤是解耦的,并且解决起来很简单,因此可以轻松地修改分数欧洲求解器以获得所提出的方法。通过数值实验验证了该方法的有效性,证明了该方法优于传统方法。本文还提供了数值研究,包括分数阶的影响和分数模型的比较。 (C)2018 Elsevier Ltd.保留所有权利。

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