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Locally risk minimizing pricing of Asian option in a semi-Markov modulated market

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dc.contributor.author CHATTERJEE, BIHAN en_US
dc.contributor.author GOSWAMI, ANINDYA en_US
dc.contributor.author Overbeck, Ludger en_US
dc.date.accessioned 2024-01-24T04:25:48Z
dc.date.available 2024-01-24T04:25:48Z
dc.date.issued 2024-01 en_US
dc.identifier.citation Stochastic Analysis and Applications. en_US
dc.identifier.issn 0736-2994 en_US
dc.identifier.issn 1532-9356 en_US
dc.identifier.uri https://doi.org/10.1080/07362994.2023.2295246 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8403
dc.description.abstract We consider a regime-switching model where the stock volatility dynamics is a semi-Markov process. Under this model assumption, we find the locally risk-minimizing price of some Asian options with European-style exercise. The price function is shown to satisfy a non-local degenerate system of parabolic PDEs in dimension two with a terminal condition. We show this by deriving the F-S decomposition of the discounted contingent claim. The related Cauchy problem involving the PDE is shown to be equivalent to an integral equation (IE). The existence and uniqueness of the classical solution to the PDE are determined by studying the IE and using semigroup theory. To be more precise, we first obtain the mild solution of the PDE and then we show that the mild solution has sufficient regularity. The locally risk-minimizing hedging for the option has also been identified in this work. Finally, the computational aspects of Asian option prices have been discussed by solving the equation numerically. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Regime switching model en_US
dc.subject Asian option en_US
dc.subject locally risk minimizing pricing en_US
dc.subject 2024-JAN-WEEK1 en_US
dc.subject TOC-JAN-2024 en_US
dc.subject 2024 en_US
dc.title Locally risk minimizing pricing of Asian option in a semi-Markov modulated market en_US
dc.type Article en_US
dc.contributor.department Dept. of Mathematics en_US
dc.identifier.sourcetitle Stochastic Analysis and Applications en_US
dc.publication.originofpublisher Foreign en_US


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