A Fast Parallel Implicit Method for Solving Black-Scholes Partial Differential Equation

Ikuya Uematsu, Lei Li
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Abstract

The Option is well known as one of the typical financial derivatives. In order to determine the price of this option, the finite difference method is used, which must be calculated using the Black―Scholes partial differential equation. In this paper, efficient computation is performed for tridiagonal Toeplitz linear equations which is needed when solving Black―Scholes partial differential equation. Let size of discretization with time is n, and size of discretization for property's value is m, we propose a method to find the solution with the required number of parallel steps of 4n log m, and the required number of processors m + log m.
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求解Black-Scholes偏微分方程的一种快速并行隐式方法
期权是一种典型的金融衍生工具。为了确定该期权的价格,使用有限差分法,必须使用Black-Scholes偏微分方程计算。本文对求解Black-Scholes偏微分方程所需的三对角线Toeplitz线性方程进行了高效的计算。设离散化随时间的大小为n,属性值离散化的大小为m,我们提出了一种求解所需并行步数为4n log m,所需处理器数为m + log m的方法。
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