Hide metadata

dc.date.accessioned2013-03-12T08:18:58Z
dc.date.available2013-03-12T08:18:58Z
dc.date.issued2007en_US
dc.date.submitted2009-11-16en_US
dc.identifier.urihttp://hdl.handle.net/10852/10528
dc.description.abstractIn this paper we employ Malliavin calculus to derive a general stochastic maximum principle for stochastic partial di¨eremtial equations with jumps under partial information. We apply this result to solve an optimal harvesting problem in the presence of partial information. Another application pertains to portfolio optimization under partial observation.eng
dc.language.isoengen_US
dc.publisherMatematisk Institutt, Universitetet i Oslo
dc.relation.ispartofPreprint series. Pure mathematics http://urn.nb.no/URN:NBN:no-8076en_US
dc.relation.urihttp://urn.nb.no/URN:NBN:no-8076
dc.rights© The Author(s) (2007). 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.titleMalliavin Calculus Applied to Optimal Control of Stochastic Partial Differential Equations with Jumps.en_US
dc.typeResearch reporten_US
dc.date.updated2012-06-14en_US
dc.rights.holderCopyright 2007 The Author(s)
dc.creator.authorMeyer-Brandis, Thiloen_US
dc.creator.authorProske, Franken_US
dc.creator.authorSalleh, Hassilah Bintien_US
dc.creator.authorMenoukeu Pamen, Olivieren_US
dc.subject.nsiVDP::410en_US
dc.identifier.urnURN:NBN:no-23513en_US
dc.type.documentForskningsrapporten_US
dc.identifier.duo96896en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10528/1/pm23-07.pdf


Files in this item

Appears in the following Collection

Hide metadata