Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117167
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorHe, XDen_US
dc.creatorJiang, Zen_US
dc.creatorKou, Sen_US
dc.date.accessioned2026-02-05T07:14:45Z-
dc.date.available2026-02-05T07:14:45Z-
dc.identifier.issn0025-1909en_US
dc.identifier.urihttp://hdl.handle.net/10397/117167-
dc.language.isoenen_US
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.rightsCopyright © 2025, INFORMSen_US
dc.rightsThis is the accepted manuscript of the following article: Xue Dong He, Zhaoli Jiang, Steven Kou (2025) Dynamic Portfolio Selection Under Quantile Maximization. Management Science 0(0), which is available at https://doi.org/10.1287/mnsc.2023.03182.en_US
dc.subjectIntra-personal equilibriumen_US
dc.subjectMedianen_US
dc.subjectPortfolio insuranceen_US
dc.subjectPortfolio selectionen_US
dc.subjectQuantilesen_US
dc.subjectTime inconsistencyen_US
dc.titleDynamic portfolio selection under quantile maximizationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1287/mnsc.2023.03182en_US
dcterms.abstractAlthough maximizing quantiles is intuitively appealing and has an axiomatic foundation, it is difficult to find the optimal portfolio strategy because of time inconsistency. Using an intrapersonal equilibrium approach and focusing on the class of time-varying affine strategies, we find that the only viable outcome is from the median maximization because for other quantiles, either the equilibrium does not exist or there is no investment in risky assets. We also prove that maximizing the median endogenizes the use of portfolio insurance. The calibration of the model uncovers a new empirical phenomenon: “portfolio share smile.”en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationManagement science, Published Online: 21 Oct 2025, Ahead of Print, https://doi.org/10.1287/mnsc.2023.03182en_US
dcterms.isPartOfManagement scienceen_US
dcterms.issued2025-
dc.identifier.eissn1526-5501en_US
dc.description.validate202602 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera4303-n01, a4011c-
dc.identifier.SubFormID51925-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was supported by the General Research Fund of the Research Grants Council of Hong Kong SAR [Grant 14207620], Early Career Scheme of the Research Grants Council of Hong Kong SAR [Grant 25213424], the National Natural Science Foundation of China [Grant 12401622], and the Hong Kong Polytechnic University [Grant P0042708].en_US
dc.description.pubStatusEarly releaseen_US
dc.description.oaCategoryGreen (AAM)en_US
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