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首页> 外文期刊>Journal of Scientific Computing >Stability and Error Analysis of Operator Splitting Methods for American Options Under the Black-Scholes Model
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Stability and Error Analysis of Operator Splitting Methods for American Options Under the Black-Scholes Model

机译:Black-Scholes模型下美式期权算子拆分方法的稳定性和误差分析

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摘要

The operator splitting method has shown to be an effective approach for solving the linear complementarity problem for pricing American options. It has been successfully applied to various Black-Scholes models, and it is implementation friendly because the differential equation and the complementarity conditions are decoupled and easily solved on its own part. However, despite its popularity, no stability and error analysis is available for these operator splitting methods. The challenge mainly arises from the special splitting associated with the slack function and the complementarity constraints. In this paper, we establish stability results for the operator splitting schemes based on the backward Euler and BDF2 methods, as well as an error estimate for the scheme based on the backward Euler method. We also provide numerical experiments to demonstrate the convergence behaviors of the two operator splitting methods.
机译:事实证明,算子拆分法是解决美式期权定价的线性互补问题的有效方法。它已经成功地应用于各种Black-Scholes模型,并且易于实现,因为微分方程和互补条件相互分离,并且很容易解决。但是,尽管它很流行,但是这些运算符拆分方法没有稳定性和错误分析。挑战主要来自与松弛函数和互补约束相关的特殊分裂。在本文中,我们建立了基于后向Euler和BDF2方法的算子拆分方案的稳定性结果,以及基于后向Euler方法的方案的误差估计。我们还提供数值实验,以证明两种算子拆分方法的收敛性。

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