Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8403
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dc.contributor.authorCHATTERJEE, BIHANen_US
dc.contributor.authorGOSWAMI, ANINDYAen_US
dc.contributor.authorOverbeck, Ludgeren_US
dc.date.accessioned2024-01-24T04:25:48Z
dc.date.available2024-01-24T04:25:48Z
dc.date.issued2024-01en_US
dc.identifier.citationStochastic Analysis and Applications.en_US
dc.identifier.issn0736-2994en_US
dc.identifier.issn1532-9356en_US
dc.identifier.urihttps://doi.org/10.1080/07362994.2023.2295246en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8403
dc.description.abstractWe 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.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectRegime switching modelen_US
dc.subjectAsian optionen_US
dc.subjectlocally risk minimizing pricingen_US
dc.subject2024-JAN-WEEK1en_US
dc.subjectTOC-JAN-2024en_US
dc.subject2024en_US
dc.titleLocally risk minimizing pricing of Asian option in a semi-Markov modulated marketen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.sourcetitleStochastic Analysis and Applicationsen_US
dc.publication.originofpublisherForeignen_US
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