Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1210
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dc.contributor.authorDAS, MILAN KUMARen_US
dc.contributor.authorGOSWAMI, ANINDYAen_US
dc.contributor.authorPATANKAR, TANMAYen_US
dc.date.accessioned2018-10-05T05:38:14Z
dc.date.available2018-10-05T05:38:14Z
dc.date.issued2018-03en_US
dc.identifier.citationStochastic Analysis and Applications. Vol. 36(4),700-725.en_US
dc.identifier.issn1532-9356en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1210
dc.identifier.urihttps://doi.org/10.1080/07362994.2018.1448996en_US
dc.description.abstractThis paper studies pricing derivatives in a componentwise semi-Markov (CSM) modulated market. We consider a financial market where the asset price dynamics follows a regime switching geometric Brownian motion model in which the coefficients depend on finitely many age-dependent semi-Markov processes. We further allow the volatility coefficient to depend on time explicitly. Under these market assumptions, we study locally risk minimizing pricing of a class of European options. It is shown that the price function can be obtained by solving a non-local Black-Scholes-Merton-type PDE. We establish existence and uniqueness of a classical solution to the Cauchy problem. We also find another characterization of price function via a system of Volterra integral equation of second kind. This alternative representation leads to computationally efficient methods for finding price and hedging. An explicit expression of quadratic residual risk is also obtained.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectSemi-Markov processesen_US
dc.subjectTime inhomogenous volatilityen_US
dc.subjectVolterra integral equationen_US
dc.subjectNon-local parabolic PDEen_US
dc.subjectTOC-SEP-2018en_US
dc.subject2018en_US
dc.titlePricing derivatives in a regime switching market with time inhomogenous volatilityen_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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