A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models

In this paper, we propose a new weak order 2.0 numerical scheme for solving stochastic differential equations with Markovian switching (SDEwMS). Using the Malliavin stochastic analysis, we theoretically prove that the new scheme has local weak order 3.0 convergence rate. Combining the special proper...

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Main Authors: Yang Li, Taitao Feng, Yaolei Wang, Yifei Xin
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/6/588
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author Yang Li
Taitao Feng
Yaolei Wang
Yifei Xin
author_facet Yang Li
Taitao Feng
Yaolei Wang
Yifei Xin
author_sort Yang Li
collection DOAJ
description In this paper, we propose a new weak order 2.0 numerical scheme for solving stochastic differential equations with Markovian switching (SDEwMS). Using the Malliavin stochastic analysis, we theoretically prove that the new scheme has local weak order 3.0 convergence rate. Combining the special property of Markov chain, we study the effects from the changes of state space on the convergence rate of the new scheme. Two numerical experiments are given to verify the theoretical results.
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spelling doaj.art-52272c919b8e436f84df816b02b7badd2023-11-21T09:52:08ZengMDPI AGMathematics2227-73902021-03-019658810.3390/math9060588A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic ModelsYang Li0Taitao Feng1Yaolei Wang2Yifei Xin3College of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaIn this paper, we propose a new weak order 2.0 numerical scheme for solving stochastic differential equations with Markovian switching (SDEwMS). Using the Malliavin stochastic analysis, we theoretically prove that the new scheme has local weak order 3.0 convergence rate. Combining the special property of Markov chain, we study the effects from the changes of state space on the convergence rate of the new scheme. Two numerical experiments are given to verify the theoretical results.https://www.mdpi.com/2227-7390/9/6/588weak order 2.0 schememarkovian switchingmalliavin calculus
spellingShingle Yang Li
Taitao Feng
Yaolei Wang
Yifei Xin
A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
Mathematics
weak order 2.0 scheme
markovian switching
malliavin calculus
title A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
title_full A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
title_fullStr A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
title_full_unstemmed A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
title_short A High Order Accurate and Effective Scheme for Solving Markovian Switching Stochastic Models
title_sort high order accurate and effective scheme for solving markovian switching stochastic models
topic weak order 2.0 scheme
markovian switching
malliavin calculus
url https://www.mdpi.com/2227-7390/9/6/588
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