Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62264
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorYao, Hen_US
dc.creatorChen, Pen_US
dc.creatorLi, Xen_US
dc.date.accessioned2016-12-19T08:59:19Z-
dc.date.available2016-12-19T08:59:19Z-
dc.identifier.issn0167-6687en_US
dc.identifier.urihttp://hdl.handle.net/10397/62264-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Yao, H., Chen, P., & Li, X. (2016). Multi-period defined contribution pension funds investment management with regime-switching and mortality risk. Insurance: Mathematics and Economics, 71, 103-113 is available at https://doi.org/10.1016/j.insmatheco.2016.08.005en_US
dc.subjectContribution pension fundsen_US
dc.subjectDynamic programmingen_US
dc.subjectMortality risken_US
dc.subjectMulti-period mean–varianceen_US
dc.subjectRegime switchingen_US
dc.titleMulti-period defined contribution pension funds investment management with regime-switching and mortality risken_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage103en_US
dc.identifier.epage113en_US
dc.identifier.volume71en_US
dc.identifier.doi10.1016/j.insmatheco.2016.08.005en_US
dcterms.abstractUsing mean–variance criterion, we investigate a multi-period defined contribution pension fund investment problem in a Markovian regime-switching market. Both stochastic wage income and mortality risk are incorporated in our model. In a regime-switching market, the market mode changes among a finite number of regimes, and the market state process is modeled by a Markov chain. The key parameters, such as the bank interest rate, or expected returns and covariance matrix of stocks, will change according to the market state. By virtue of Lagrange duality technique, dynamic programming approach and matrix representation method, we derive expressions of efficient investment strategy and its efficient frontier in closed-form. Also, we study some special cases of our model. Finally, a numerical example based on real data from the American market sheds light on our theoretical results.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInsurance : mathematics and economics, Nov. 2016, v. 71, p. 103-113en_US
dcterms.isPartOfInsurance : mathematics and economicsen_US
dcterms.issued2016-11-
dc.identifier.scopus2-s2.0-84987906251-
dc.identifier.ros2016000217-
dc.identifier.rosgroupid2016000216-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201804_a bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0542-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6678037-
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