Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115145
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dc.contributorDepartment of Applied Mathematics-
dc.creatorHe, XD-
dc.creatorJiang, Z-
dc.date.accessioned2025-09-10T04:25:00Z-
dc.date.available2025-09-10T04:25:00Z-
dc.identifier.issn0364-765X-
dc.identifier.urihttp://hdl.handle.net/10397/115145-
dc.language.isoenen_US
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.rightsCopyright: © 2021 INFORMSen_US
dc.rightsThis is the accepted manuscript of the following article: Xue Dong He, Zhaoli Jiang (2021) Mean-Variance Portfolio Selection with Dynamic Targets for Expected Terminal Wealth. Mathematics of Operations Research 47(1):587-615, which has been published in final form at https://doi.org/10.1287/moor.2021.1142.en_US
dc.subjectDynamic mean-variance analysisen_US
dc.subjectEquilibrium strategiesen_US
dc.subjectPortfolio selectionen_US
dc.subjectTime inconsistencyen_US
dc.titleMean-variance portfolio selection with dynamic targets for expected terminal wealthen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage587-
dc.identifier.epage615-
dc.identifier.volume47-
dc.identifier.issue1-
dc.identifier.doi10.1287/moor.2021.1142-
dcterms.abstractIn a market that consists of multiple stocks and one risk-free asset whose mean return rates and volatility are deterministic, we study a continuous-time mean-variance portfolio selection problem in which an agent is subject to a constraint that the expectation of the agent’s terminal wealth must exceed a target and minimize the variance of the agent’s terminal wealth. The agent can revise the expected terminal wealth target dynamically to adapt to the change of the agent’s current wealth, and we consider the following three targets: (i) the agent’s current wealth multiplied by a target expected gross return rate, (ii) the risk-free payoff of the agent’s current wealth plus a premium, and (iii) a weighted average of the risk-free payoff of the agent’s current wealth and a preset aspiration level. We derive the so-called equilibrium strategy in closed form for each of the three targets and find that the agent effectively minimizes the variance of the instantaneous change of the agent’s wealth subject to a certain constraint on the expectation of the instantaneous change of the agent’s wealth.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematics of operations research, Feb. 2022, v. 47, no. 1, p. 587-615-
dcterms.isPartOfMathematics of operations research-
dcterms.issued2022-02-
dc.identifier.scopus2-s2.0-85125556506-
dc.identifier.eissn1526-5471-
dc.description.validate202509 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera4011b [Non PolyU]en_US
dc.identifier.SubFormID51923en_US
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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