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An implementation of the Wiener-Hopf factorization into finite difference methods for option pricing under Lévy processes

机译:在Lévy过程中将Wiener-Hopf因式分解实现为有限差分方法以进行期权定价

摘要

In the paper, we consider the problem of pricing options in wide classes of Lévy processes. We propose a general approach to the numerical methods based on a finite difference approximation for the generalized Black-Scholes equation. The goal of the paper is to incorporate the Wiener-Hopf factorization into finite difference methods for pricing options in Lévy models with jumps. The method is applicable for pricing barrier and American options. The pricing problem is reduced to the sequence of linear algebraic systems with a dense Toeplitz matrix; then the Wiener-Hopf factorization method is applied. We give an important probabilistic interpretation based on the infinitely divisible distributions theory to the Laurent operators in the correspondent factorization identity. Notice that our algorithm has the same complexity as the ones which use the explicit-implicit scheme, with a tridiagonal matrix. However, our method is more accurate. We support the advantage of the new method in terms of accuracy and convergence by using numerical experiments.
机译:在本文中,我们考虑了广泛的Lévy流程中的定价选项问题。我们为广义Black-Scholes方程基于有限差分近似提出了一种数值方法的通用方法。本文的目的是将Wiener-Hopf因式分解合并到有限差分法中,用于带跳的Lévy模型中的定价选项。该方法适用于价格壁垒和美式期权。定价问题被简化为具有密集Toeplitz矩阵的线性代数系统的序列。然后应用Wiener-Hopf因式分解方法。我们在无限因式分布理论的基础上,对相应因式分解身份中的Laurent算子给出了重要的概率解释。注意,我们的算法与使用显式-隐式方案的算法具有相同的复杂度,并且具有三对角矩阵。但是,我们的方法更准确。我们通过数值实验来支持新方法在准确性和收敛性方面的优势。

著录项

  • 作者

    Kudryavtsev Oleg;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 en
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