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Novel fitted multi-point flux approximation methods for options pricing

It is well known that pricing options in finance generally leads to the resolution of the second order Black-Scholes Partial Differential Equation (PDE). Several studies have been conducted to solve this PDE for pricing different type of financial options. However the Black-Scholes PDE has an analyt...

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Main Author: Koffi, Rock Stephane
Other Authors: Tambue, Antoine
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2021
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access_status_str Open Access
author Koffi, Rock Stephane
author2 Tambue, Antoine
author_browse Koffi, Rock Stephane
Tambue, Antoine
author_facet Tambue, Antoine
Koffi, Rock Stephane
author_sort Koffi, Rock Stephane
collection Thesis
description It is well known that pricing options in finance generally leads to the resolution of the second order Black-Scholes Partial Differential Equation (PDE). Several studies have been conducted to solve this PDE for pricing different type of financial options. However the Black-Scholes PDE has an analytical solution only for pricing European options with constant coefficients. Therefore, the resolution of the Black-Scholes PDE strongly relies on numerical methods. The finite difference method and the finite volume method are amongst the most used numerical methods for its resolution. Besides, the BlackScholes PDE is degenerated when stock price approaches zero. This degeneracy affects negatively the accuracy of the numerical method used for its resolution, and therefore special techniques are needed to tackle this drawback. In this Thesis, our goal is to build accurate numerical methods to solve the multidimensional degenerated Black-Scholes PDE. More precisely, we develop in two dimensional domain novel numerical methods called fitted Multi-Point Flux Approximation (MPFA) methods to solve the multi-dimensional Black-Scholes PDE for pricing American and European options. We investigate two types of MPFA methods, the O-method which is the classical MPFA method and the most intuitive method, and the L-method which is less intuitive, but seems to be more robust. Furthermore, we provide rigorous convergence proofs of a fully discretized schemes for the one dimensional case of the corresponding schemes, which will be well known on the name of finite volume method with Two Point Flux Approximation (TPFA) and the fitted TPFA. Numerical experiments are performed and proved that the fitted MPFA methods are more accurate than the classical finite volume method and the standard MPFA methods.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:18.917Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/32744 Novel fitted multi-point flux approximation methods for options pricing Koffi, Rock Stephane Tambue, Antoine Ebobisse, Francois Mathematics and Applied Mathematics It is well known that pricing options in finance generally leads to the resolution of the second order Black-Scholes Partial Differential Equation (PDE). Several studies have been conducted to solve this PDE for pricing different type of financial options. However the Black-Scholes PDE has an analytical solution only for pricing European options with constant coefficients. Therefore, the resolution of the Black-Scholes PDE strongly relies on numerical methods. The finite difference method and the finite volume method are amongst the most used numerical methods for its resolution. Besides, the BlackScholes PDE is degenerated when stock price approaches zero. This degeneracy affects negatively the accuracy of the numerical method used for its resolution, and therefore special techniques are needed to tackle this drawback. In this Thesis, our goal is to build accurate numerical methods to solve the multidimensional degenerated Black-Scholes PDE. More precisely, we develop in two dimensional domain novel numerical methods called fitted Multi-Point Flux Approximation (MPFA) methods to solve the multi-dimensional Black-Scholes PDE for pricing American and European options. We investigate two types of MPFA methods, the O-method which is the classical MPFA method and the most intuitive method, and the L-method which is less intuitive, but seems to be more robust. Furthermore, we provide rigorous convergence proofs of a fully discretized schemes for the one dimensional case of the corresponding schemes, which will be well known on the name of finite volume method with Two Point Flux Approximation (TPFA) and the fitted TPFA. Numerical experiments are performed and proved that the fitted MPFA methods are more accurate than the classical finite volume method and the standard MPFA methods. 2021-02-01T10:41:17Z 2021-02-01T10:41:17Z 2020 2021-01-31T05:54:31Z Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/32744 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science
spellingShingle Mathematics and Applied Mathematics
Koffi, Rock Stephane
Novel fitted multi-point flux approximation methods for options pricing
thesis_degree_str Doctoral
title Novel fitted multi-point flux approximation methods for options pricing
title_full Novel fitted multi-point flux approximation methods for options pricing
title_fullStr Novel fitted multi-point flux approximation methods for options pricing
title_full_unstemmed Novel fitted multi-point flux approximation methods for options pricing
title_short Novel fitted multi-point flux approximation methods for options pricing
title_sort novel fitted multi point flux approximation methods for options pricing
topic Mathematics and Applied Mathematics
url http://hdl.handle.net/11427/32744
work_keys_str_mv AT koffirockstephane novelfittedmultipointfluxapproximationmethodsforoptionspricing