Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98635
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorCui, Xen_US
dc.creatorLi, Xen_US
dc.creatorLi, Den_US
dc.creatorShi, Yen_US
dc.date.accessioned2023-05-10T02:00:48Z-
dc.date.available2023-05-10T02:00:48Z-
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://hdl.handle.net/10397/98635-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2017 The Operational Research Society. All rights reserved.en_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the Operational Research Society on 15 Feb 2018 (published online), available at: http://www.tandfonline.com/10.1057/s41274-017-0179-6.en_US
dc.subjectInvestment analysisen_US
dc.subjectState-dependent risk aversionen_US
dc.subjectDynamic mean–variance formulationen_US
dc.subjectTime consistencyen_US
dc.subjectBehavioral portfolio policyen_US
dc.titleTime consistent behavioral portfolio policy for dynamic mean–variance formulationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1647en_US
dc.identifier.epage1660en_US
dc.identifier.volume68en_US
dc.identifier.issue12en_US
dc.identifier.doi10.1057/s41274-017-0179-6en_US
dcterms.abstractWhen one considers an optimal portfolio policy under a mean-risk formulation, it is essential to correctly model investors’ risk aversion which may be time variant or even state dependent. In this paper, we propose a behavioral risk aversion model, in which risk aversion is a piecewise linear function of the current excess wealth level with a reference point at the discounted investment target (either surplus or shortage), to reflect a behavioral pattern with both house money and break-even effects. Due to the time inconsistency of the resulting multi-period mean–variance model with adaptive risk aversion, we investigate the time consistent behavioral portfolio policy by solving a nested mean–variance game formulation. We derive a semi-analytical time consistent behavioral portfolio policy which takes a piecewise linear feedback form of the current excess wealth level with respect to the discounted investment target. Finally, we extend the above results to time consistent behavioral portfolio selection for dynamic mean–variance formulation with a cone constraint.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of the Operational Research Society, 2017, v. 68, no. 12, p. 1647-1660en_US
dcterms.isPartOfJournal of the Operational Research Societyen_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85014579187-
dc.identifier.eissn1476-9360en_US
dc.description.validate202305 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0451-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6728602-
dc.description.oaCategoryGreen (AAM)en_US
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