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dc.date.accessioned2023-03-16T16:06:04Z
dc.date.available2023-09-08T22:45:52Z
dc.date.created2022-11-22T09:58:24Z
dc.date.issued2023
dc.identifier.citationYurchenko-Tytarenko, Anton Di Nunno, Giulia Mishura, Yuliya . Sandwiched SDEs with unbounded drift driven by Hölder noises. Advances in Applied Probability. 2022
dc.identifier.urihttp://hdl.handle.net/10852/101515
dc.description.abstractWe study a stochastic differential equation with an unbounded drift and general Hölder continuous noise of order . The corresponding equation turns out to have a unique solution that, depending on a particular shape of the drift, either stays above some continuous function or has continuous upper and lower bounds. Under some mild assumptions on the noise, we prove that the solution has moments of all orders. In addition, we provide its connection to the solution of some Skorokhod reflection problem. As an illustration of our results and motivation for applications, we also suggest two stochastic volatility models which we regard as generalizations of the CIR and CEV processes. We complete the study by providing a numerical scheme for the solution.
dc.languageEN
dc.publisherApplied Probability Trust
dc.titleSandwiched SDEs with unbounded drift driven by Hölder noises
dc.title.alternativeENEngelskEnglishSandwiched SDEs with unbounded drift driven by Hölder noises
dc.typeJournal article
dc.creator.authorYurchenko-Tytarenko, Anton
dc.creator.authorDi Nunno, Giulia
dc.creator.authorMishura, Yuliya
cristin.unitcode185,15,13,35
cristin.unitnameRisiko og stokastikk (SEKSJON 3)
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin2077875
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Advances in Applied Probability&rft.volume=&rft.spage=&rft.date=2022
dc.identifier.jtitleAdvances in Applied Probability
dc.identifier.doihttps://doi.org/10.1017/apr.2022.56
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0001-8678
dc.type.versionAcceptedVersion
dc.relation.projectNFR/274410


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