Multigrid method for pricing European options under the CGMY process

We propose a fast multigrid method for solving the discrete partial integro-differential equations (PIDEs) arising from pricing European options when the underlying asset is driven by an infinite activity Lévy process. We consider the CGMY model whose kernel singularity gets worse when the parameter...

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Main Author: Justin W. L. Wan
Format: Article
Language:English
Published: AIMS Press 2019-12-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/10.3934/math.2019.6.1745/fulltext.html
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author Justin W. L. Wan
author_facet Justin W. L. Wan
author_sort Justin W. L. Wan
collection DOAJ
description We propose a fast multigrid method for solving the discrete partial integro-differential equations (PIDEs) arising from pricing European options when the underlying asset is driven by an infinite activity Lévy process. We consider the CGMY model whose kernel singularity gets worse when the parameter Y approaches two. Due to the integral term, the discretization matrix is dense. In order to obtain an efficient multigrid method, we apply a fixed point iteration as a smoother for multigrid. In each smoothing step, we only need to solve a sparse matrix corresponding to the differential operator and compute a matrix-vector product involving the integral operator by a fast Fourier transform (FFT). We prove that the fixed point iteration smoother is effective reducing the high frequency components. Moreover, we also prove a two-grid convergence of the multigrid method by a local mode analysis. We demonstrate the effectiveness of the multigrid method by solving the option pricing equation under the CGMY model with finite and infinite variation processes.
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spelling doaj.art-d8403f26b0594a0bb8ba66e8403079fa2022-12-21T23:09:35ZengAIMS PressAIMS Mathematics2473-69882019-12-01461745176710.3934/math.2019.6.1745Multigrid method for pricing European options under the CGMY processJustin W. L. Wan0David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, CanadaWe propose a fast multigrid method for solving the discrete partial integro-differential equations (PIDEs) arising from pricing European options when the underlying asset is driven by an infinite activity Lévy process. We consider the CGMY model whose kernel singularity gets worse when the parameter Y approaches two. Due to the integral term, the discretization matrix is dense. In order to obtain an efficient multigrid method, we apply a fixed point iteration as a smoother for multigrid. In each smoothing step, we only need to solve a sparse matrix corresponding to the differential operator and compute a matrix-vector product involving the integral operator by a fast Fourier transform (FFT). We prove that the fixed point iteration smoother is effective reducing the high frequency components. Moreover, we also prove a two-grid convergence of the multigrid method by a local mode analysis. We demonstrate the effectiveness of the multigrid method by solving the option pricing equation under the CGMY model with finite and infinite variation processes.https://www.aimspress.com/article/10.3934/math.2019.6.1745/fulltext.htmlmultigridtwo-grid analysisblack-scholes equationcgmy modelpide
spellingShingle Justin W. L. Wan
Multigrid method for pricing European options under the CGMY process
AIMS Mathematics
multigrid
two-grid analysis
black-scholes equation
cgmy model
pide
title Multigrid method for pricing European options under the CGMY process
title_full Multigrid method for pricing European options under the CGMY process
title_fullStr Multigrid method for pricing European options under the CGMY process
title_full_unstemmed Multigrid method for pricing European options under the CGMY process
title_short Multigrid method for pricing European options under the CGMY process
title_sort multigrid method for pricing european options under the cgmy process
topic multigrid
two-grid analysis
black-scholes equation
cgmy model
pide
url https://www.aimspress.com/article/10.3934/math.2019.6.1745/fulltext.html
work_keys_str_mv AT justinwlwan multigridmethodforpricingeuropeanoptionsunderthecgmyprocess