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dc.contributor.authorLin, Hongcan
dc.contributor.authorSaunders, David
dc.contributor.authorWeng, Chengguo
dc.date.accessioned2023-11-07 18:13:40 (GMT)
dc.date.available2023-11-07 18:13:40 (GMT)
dc.date.issued2021
dc.identifier.urihttps://doi.org/10.1007/s00245-019-09601-1
dc.identifier.urihttp://hdl.handle.net/10012/20093
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Applied Mathematics & Optimization. The final authenticated version is available online at: https://doi.org/10.1007/s00245-019-09601-1.en
dc.description.abstractWe consider a mean-expectile portfolio selection problem in a continuous-time diffusion model. We exploit the close relationship between expectiles and the Omega performance measure to reformulate the problem as the maximization of the Omega measure, and show the equivalence between the two problems. After showing that the solution for the mean-expectile problem is not attainable but that the value function is finite, we modify the problem by introducing a bound on terminal wealth and obtain the solution by Lagrangian duality. The global expectile minimizing portfolio and efficient frontier with a terminal wealth bound are also discussed.en
dc.description.sponsorshipNSERC, RGPIN-2017-04220 || NSERC, RGPIN-2016-04001.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesApplied Mathematics & Optimization;83(3)
dc.subjectexpectilesen
dc.subjectportfolio selectionen
dc.subjectefficient frontieren
dc.subjectperformance measuresen
dc.subjectOmegaen
dc.titleMean-Expectile Portfolio Selectionen
dc.typeArticleen
dcterms.bibliographicCitationLin, H., Saunders, D., & Weng, C. (2019). Mean-expectile portfolio selection. Applied Mathematics & Optimization, 83(3), 1585–1612. https://doi.org/10.1007/s00245-019-09601-1en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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