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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/114662

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Title
A Hidden Markov regime-switching model for option valuation
Related
Insurance, mathematics and economics, Vol. 47, Issue 3 (2010), p.374-384
DOI
10.1016/j.insmatheco.2010.08.003
Publisher
Elsevier
Date
2010
FoR/RFCD Code(s)
010400 Statistics  140200 Applied Economics
Author/Creator
Liew, Chuin
Author/Creator
Siu, Tak Kuen
Description
We investigate two approaches, namely, the Esscher transform and the extended Girsanov’s principle, for option valuation in a discrete-time hidden Markov regime-switching Gaussian model. The model’s parameters including the interest rate, the appreciation rate and the volatility of a risky asset are governed by a discrete-time, finite-state, hidden Markov chain whose states represent the hidden states of an economy. We give a recursive filter for the hidden Markov chain and estimates of model parameters using a filter-based EM algorithm. We also derive predictors for the hidden Markov chain and some related quantities. These quantities are used to estimate the price of a standard European call option. Numerical examples based on real financial data are provided to illustrate the implementation of the proposed method.
Description
11 page(s)
Subject Keyword
010400 Statistics
Subject Keyword
140200 Applied Economics
Subject Keyword
pption pricing
Subject Keyword
regime-switching
Subject Keyword
hidden Markov model
Subject Keyword
Esscher transform
Subject Keyword
extended Girsanov principle
Subject Keyword
filters and predictors
Resource Type
journal article
Organisation
Macquarie University. Dept. of Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/114662
Identifier
ISSN:0167-6687
Identifier
mq-rm-2010003740
Language
eng
Reviewed
Reviewed
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Citation Format
E-mail Address
Subject
"Insurance, mathematics and economics"
 
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