Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111607
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorHu, Yen_US
dc.creatorShi, Xen_US
dc.creatorXu, ZQen_US
dc.date.accessioned2025-03-03T08:36:50Z-
dc.date.available2025-03-03T08:36:50Z-
dc.identifier.issn0095-4616en_US
dc.identifier.urihttp://hdl.handle.net/10397/111607-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.subjectMulti-dimensional quadratic backward stochastic differential equationen_US
dc.subjectOptimal consumption–investmenten_US
dc.subjectRandom coefficientsen_US
dc.subjectRegime switchingen_US
dc.titleOptimal consumption : investment with constraints in a regime switching market with random coefficientsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Optimal consumption-investment with coupled constraints on consumption and investment strategies in a regime switching market with random coecientsen_US
dc.identifier.volume91en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1007/s00245-024-10203-9en_US
dcterms.abstractThis paper studies finite-time optimal consumption–investment problems with power, logarithmic and exponential utilities, in a regime switching market with random coefficients and possibly subject to non-convex constraints. Compared to the existing models, one distinguish feature of our model is that the trading constraints put on the consumption and investment strategies are coupled together in the cases of power and logarithmic utilities, leading to new technical challenges. We provide explicit optimal consumption–investment strategies and optimal values for these consumption–investment problems, which are expressed in terms of the solutions to some multi-dimensional diagonally quadratic backward stochastic differential equation (BSDE) and linear BSDE with unbound coefficients. These BSDEs are new in the literature and solving them is one of the main theoretical contributions of this paper. We accomplish the latter by applying the truncation, approximation technique to get some a priori uniformly lower and upper bounds for their solutions.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationApplied mathematics and optimization, Feb. 2025, v. 91, no. 1, 5en_US
dcterms.isPartOfApplied mathematics and optimizationen_US
dcterms.issued2025-02-
dc.identifier.scopus2-s2.0-85212101764-
dc.identifier.eissn1432-0606en_US
dc.identifier.artn5en_US
dc.description.validate202503 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3419c-
dc.identifier.SubFormID50082-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2025-12-10en_US
dc.description.oaCategoryGreen (AAM)en_US
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