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dc.date.accessioned2013-07-08T12:54:25Z
dc.date.available2013-07-08T12:54:25Z
dc.date.created2013-06-20T20:44:08Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10852/36012
dc.description.abstractWe find a maximum principle for processes driven by martingale random fields. We do so by describing the adjoint processes with non-anticipating stochastic derivatives. In the case of the Levy processes this mimics maximum principles with Malliavin derivatives, but we replace Malliavin differentiability conditions with L2-conditions. As an application we use the maximum principle to solve a portfolio optimization problem for assets with credit risk modeled by doubly stochastic Poisson processes.
dc.languageEN
dc.publisherMatematisk Institutt, Universitetet i Oslo
dc.relation.ispartofPreprint series: Pure mathematics http://urn.nb.no/URN:NBN:no-8076
dc.relation.urihttp://urn.nb.no/URN:NBN:no-8076
dc.rights© The Author(s) (2013). This material is protected by copyright law. Without explicit authorisation, reproduction is only allowed in so far as it is permitted by law or by agreement with a collecting society.
dc.titleMAXIMUM PRINCIPLES FOR MARTINGALE RANDOM FIELDS VIA NON-ANTICIPATING STOCHASTIC DERIVATIVES
dc.typeResearch report
dc.rights.holderCopyright 2013 The Author(s)
dc.creator.authorSjursen, Steffen A. Søreide
cristin.unitcode185,15,0,0
cristin.unitnameDet matematisk-naturvitenskapelige fakultet
cristin.ispublishedtrue
cristin.fulltextpreprint
dc.identifier.cristin1035696
dc.identifier.pagecount19
dc.identifier.urnURN:NBN:no-38134
dc.type.documentForskningsrapport
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/36012/2/Preprint_UiO.pdf


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