A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models

This paper considers the American option pricing problem under the stochastic volatility models. In particular, we introduce the GARCH model with two heavy-tailed distributions: classical tempered stable (CTS) and normal tempered stable (NTS) distribution. Then we apply the Markov chain approach to...

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Main Authors: Xiang eShi, Lihua eZhang, Young Shin Aaron Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-01-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fams.2015.00013/full
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author Xiang eShi
Lihua eZhang
Young Shin Aaron Kim
author_facet Xiang eShi
Lihua eZhang
Young Shin Aaron Kim
author_sort Xiang eShi
collection DOAJ
description This paper considers the American option pricing problem under the stochastic volatility models. In particular, we introduce the GARCH model with two heavy-tailed distributions: classical tempered stable (CTS) and normal tempered stable (NTS) distribution. Then we apply the Markov chain approach to compute the prices of American style options under these two models. Minimal entropy provides a convenient way to construct equivalent martingale measure (EMM) and allows us to overcome the difficulties in incorporating the Markov chain approximation. The convergence of the approximation is also proved. Both numerical and empirical results are analyzed to show the advantages and drawbacks of our approach.
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spelling doaj.art-b1b31e14d6aa457b8bc69b1ced49703c2022-12-21T18:00:07ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872016-01-01110.3389/fams.2015.00013162421A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH ModelsXiang eShi0Lihua eZhang1Young Shin Aaron Kim2Stony Brook UniversityZhejiang University of TechnologyStony Brook UniversityThis paper considers the American option pricing problem under the stochastic volatility models. In particular, we introduce the GARCH model with two heavy-tailed distributions: classical tempered stable (CTS) and normal tempered stable (NTS) distribution. Then we apply the Markov chain approach to compute the prices of American style options under these two models. Minimal entropy provides a convenient way to construct equivalent martingale measure (EMM) and allows us to overcome the difficulties in incorporating the Markov chain approximation. The convergence of the approximation is also proved. Both numerical and empirical results are analyzed to show the advantages and drawbacks of our approach.http://journal.frontiersin.org/Journal/10.3389/fams.2015.00013/fullMarkov chainGARCHAmerican optionsTempered stable distributionMinimal entropy
spellingShingle Xiang eShi
Lihua eZhang
Young Shin Aaron Kim
A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
Frontiers in Applied Mathematics and Statistics
Markov chain
GARCH
American options
Tempered stable distribution
Minimal entropy
title A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
title_full A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
title_fullStr A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
title_full_unstemmed A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
title_short A Markov Chain Approximation for American Option Pricing in Tempered Stable-GARCH Models
title_sort markov chain approximation for american option pricing in tempered stable garch models
topic Markov chain
GARCH
American options
Tempered stable distribution
Minimal entropy
url http://journal.frontiersin.org/Journal/10.3389/fams.2015.00013/full
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AT xiangeshi markovchainapproximationforamericanoptionpricingintemperedstablegarchmodels
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