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A radial basis function based implicit-explicit method for option pricing under jump-diffusion models

机译:跳扩散模型下基于径向基函数的隐式显式期权定价方法

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摘要

In this article, we present a radial basis function based implicit explicit numerical method to solve the partial integro-differential equation which describes the nature of the option price under jump diffusion model. The governing equation is time semi discrtized by using the implicit-explicit backward difference method of order two (IMEX-BDF2) followed by radial basis function based finite difference (RBF-FD) method. The numerical scheme derived for European option is extended for American option by using operator splitting method. Numerical results for put and call option under Merton and Kou models are given to illustrate the efficiency and accuracy of the present method. The stability of time semi discretized scheme is also proved.
机译:在本文中,我们提出了一种基于径向基函数的隐式显式数值方法来求解部分积分微分方程,该方程描述了跳扩散模型下期权价格的性质。通过使用二阶隐式-显式后向差分方法(IMEX-BDF2)和基于径向基函数的有限差分(RBF-FD)方法对控制方程进行时间半离散化。通过使用运算符拆分方法,可以将针对欧洲期权的数值方案扩展为针对美国期权的方案。给出了Merton和Kou模型下的看跌期权和看涨期权的数值结果,以说明本方法的效率和准确性。还证明了时间半离散方案的稳定性。

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