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dc.contributor.authorChen, Xinfu
dc.contributor.authorSaunders, David
dc.contributor.authorChadam, John
dc.date.accessioned2023-11-07 17:34:35 (GMT)
dc.date.available2023-11-07 17:34:35 (GMT)
dc.date.issued2020
dc.identifier.urihttps://doi.org/10.1016/j.jmaa.2019.123559
dc.identifier.urihttp://hdl.handle.net/10012/20091
dc.descriptionThe final publication is available at Elsevier via https://doi.org/10.1016/j.jmaa.2019.123559. © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractWe analyze the optimal withdrawal time for an investor in a hedge fund with a first-loss or shared-loss fee structure, given as the solution of an optimal stopping problem on the fund's assets with a piecewise linear payoff function. Assuming that the underlying follows a geometric Brownian motion, we present a complete solution of the problem in the infinite horizon case, showing that the continuation region is a finite interval, and that the smooth-fit condition may fail to hold at one of the endpoints. In the finite horizon case, we show the existence of a pair of optimal exercise boundaries and analyze their properties, including smoothness and convexity.en
dc.description.sponsorshipNSERC, RGPIN-2017-04220.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesJournal of Mathematical Analysis and Applications;483(1); 123559
dc.subjectoptimal stoppingen
dc.subjectfree boundary problemsen
dc.subjectmathematical financeen
dc.subjectvariational inequalitiesen
dc.subjectStefan problemen
dc.titleAnalysis of an Optimal Stopping Problem Arising from Hedge Fund Investingen
dc.typeArticleen
dcterms.bibliographicCitationChen, X., Saunders, D., & Chadam, J. (2020). Analysis of an optimal stopping problem arising from hedge fund investing. Journal of Mathematical Analysis and Applications, 483(1), 123559. https://doi.org/10.1016/j.jmaa.2019.123559en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Schwegel-UW Research Institute for Aging (RIA)en
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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