A numerical method for pricing European options with proportional transaction costs

In the paper,we propose a numerical technique based on a finite difference scheme in space and an implicit time-stepping scheme for solving the Hamilton–Jacobi–Bellman (HJB) equation arising from the penalty formulation of the valuation ofEuropean options with proportional transaction costs. We show...

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Bibliographic Details
Main Authors: Li, W., Wang, Song
Other Authors: Adil Bagirov
Format: Conference Paper
Published: Kluwer Academic Publishers 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/10608
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author Li, W.
Wang, Song
author2 Adil Bagirov
author_facet Adil Bagirov
Li, W.
Wang, Song
author_sort Li, W.
building Curtin Institutional Repository
collection Online Access
description In the paper,we propose a numerical technique based on a finite difference scheme in space and an implicit time-stepping scheme for solving the Hamilton–Jacobi–Bellman (HJB) equation arising from the penalty formulation of the valuation ofEuropean options with proportional transaction costs. We show that the approximate solution from the numerical scheme converges to the viscosity solution of the HJB equation as the mesh sizes in space and time approach zero. We also propose an iterative scheme for solving the nonlinear algebraic system arising from the discretization and establish a convergence theory for the iterative scheme. Numerical experiments are presented to demonstrate the robustness and accuracy of the method.
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format Conference Paper
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institution Curtin University Malaysia
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last_indexed 2025-11-14T06:51:24Z
publishDate 2014
publisher Kluwer Academic Publishers
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spelling curtin-20.500.11937-106082023-02-13T08:01:37Z A numerical method for pricing European options with proportional transaction costs Li, W. Wang, Song Adil Bagirov Kaisa Miettinen Gerhard-Wilhelm Weber Optimal feedback control Complementarity problems Convergence Global optimizer European option pricing Finite difference method HJB equations In the paper,we propose a numerical technique based on a finite difference scheme in space and an implicit time-stepping scheme for solving the Hamilton–Jacobi–Bellman (HJB) equation arising from the penalty formulation of the valuation ofEuropean options with proportional transaction costs. We show that the approximate solution from the numerical scheme converges to the viscosity solution of the HJB equation as the mesh sizes in space and time approach zero. We also propose an iterative scheme for solving the nonlinear algebraic system arising from the discretization and establish a convergence theory for the iterative scheme. Numerical experiments are presented to demonstrate the robustness and accuracy of the method. 2014 Conference Paper http://hdl.handle.net/20.500.11937/10608 10.1007/s10898-014-0155-5 Kluwer Academic Publishers restricted
spellingShingle Optimal feedback control
Complementarity problems
Convergence
Global optimizer
European option pricing
Finite difference method
HJB equations
Li, W.
Wang, Song
A numerical method for pricing European options with proportional transaction costs
title A numerical method for pricing European options with proportional transaction costs
title_full A numerical method for pricing European options with proportional transaction costs
title_fullStr A numerical method for pricing European options with proportional transaction costs
title_full_unstemmed A numerical method for pricing European options with proportional transaction costs
title_short A numerical method for pricing European options with proportional transaction costs
title_sort numerical method for pricing european options with proportional transaction costs
topic Optimal feedback control
Complementarity problems
Convergence
Global optimizer
European option pricing
Finite difference method
HJB equations
url http://hdl.handle.net/20.500.11937/10608