Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach

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 factorizat...

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Main Author: Oleg Kudryavtsev
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/963625
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spelling doaj-03f3fd28bb63454ebb44085663b4f3822020-11-25T02:15:33ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/963625963625Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization ApproachOleg Kudryavtsev0Department of Informatics, Russian Customs Academy Rostov Branch, Budennovskiy 20, Rostov-on-Don 344002, RussiaIn 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.http://dx.doi.org/10.1155/2013/963625
collection DOAJ
language English
format Article
sources DOAJ
author Oleg Kudryavtsev
spellingShingle Oleg Kudryavtsev
Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
The Scientific World Journal
author_facet Oleg Kudryavtsev
author_sort Oleg Kudryavtsev
title Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
title_short Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
title_full Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
title_fullStr Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
title_full_unstemmed Finite Difference Methods for Option Pricing under Lévy Processes: Wiener-Hopf Factorization Approach
title_sort finite difference methods for option pricing under lévy processes: wiener-hopf factorization approach
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/963625
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