A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations

Stochastic delay differential equations with jumps have a wide range of applications, particularly, in mathematical finance. Solution of the underlying initial value problems is important for the understanding and control of many phenomena and systems in the real world. In this paper, we construct a...

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Main Authors: Zhou, Y., Wu, Yong Hong, Ge, X., Wiwatanapataphee, Benchawan
Format: Journal Article
Published: Hindawi Publishing Corporation 2013
Online Access:http://hdl.handle.net/20.500.11937/35155
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author Zhou, Y.
Wu, Yong Hong
Ge, X.
Wiwatanapataphee, Benchawan
author_facet Zhou, Y.
Wu, Yong Hong
Ge, X.
Wiwatanapataphee, Benchawan
author_sort Zhou, Y.
building Curtin Institutional Repository
collection Online Access
description Stochastic delay differential equations with jumps have a wide range of applications, particularly, in mathematical finance. Solution of the underlying initial value problems is important for the understanding and control of many phenomena and systems in the real world. In this paper, we construct a robust Taylor approximation scheme and then examine the convergence of the method in a weak sense. A convergence theorem for the scheme is established and proved. Our analysis and numerical examples show that the proposed scheme of high order is effective and efficient for Monte Carlo simulations for jump-diffusion stochastic delay differential equations.
first_indexed 2025-11-14T08:40:06Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:40:06Z
publishDate 2013
publisher Hindawi Publishing Corporation
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-351552017-09-13T16:07:33Z A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations Zhou, Y. Wu, Yong Hong Ge, X. Wiwatanapataphee, Benchawan Stochastic delay differential equations with jumps have a wide range of applications, particularly, in mathematical finance. Solution of the underlying initial value problems is important for the understanding and control of many phenomena and systems in the real world. In this paper, we construct a robust Taylor approximation scheme and then examine the convergence of the method in a weak sense. A convergence theorem for the scheme is established and proved. Our analysis and numerical examples show that the proposed scheme of high order is effective and efficient for Monte Carlo simulations for jump-diffusion stochastic delay differential equations. 2013 Journal Article http://hdl.handle.net/20.500.11937/35155 10.1155/2013/750147 Hindawi Publishing Corporation fulltext
spellingShingle Zhou, Y.
Wu, Yong Hong
Ge, X.
Wiwatanapataphee, Benchawan
A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title_full A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title_fullStr A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title_full_unstemmed A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title_short A robust weak Taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
title_sort robust weak taylor approximation scheme for solutions of jump-diffusion stochastic delay differential equations
url http://hdl.handle.net/20.500.11937/35155