dc.contributorFGV
dc.creatorBehr, Patrick
dc.creatorGuettler, Andre
dc.creatorTruebenbach, Fabian
dc.date.accessioned2018-05-10T13:36:09Z
dc.date.accessioned2022-11-03T20:26:24Z
dc.date.available2018-05-10T13:36:09Z
dc.date.available2022-11-03T20:26:24Z
dc.date.created2018-05-10T13:36:09Z
dc.date.issued2012-05
dc.identifier0266-6669 / 1741-6469
dc.identifierhttp://hdl.handle.net/10438/23255
dc.identifier10.1016/j.jbankfin.2011.12.007
dc.identifier000302445800014
dc.identifierGuettler, Andre/0000-0003-2743-5250
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5038420
dc.description.abstractMinimum-variance portfolios, which ignore the mean and focus on the (co)variances of asset returns, outperform mean-variance approaches in out-of-sample tests. Despite these promising results, minimum-variance policies fail to deliver a superior performance compared with the simple 1/N rule. In this paper, we propose a parametric portfolio policy that uses industry return momentum to improve portfolio performance. Our portfolio policies outperform a broad selection of established portfolio strategies in terms of Sharpe ratio and certainty equivalent returns. The proposed policies are particularly suitable for investors because portfolio turnover is only moderately increased compared to standard minimum-variance portfolios. (C) 2011 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier Science Bv
dc.relationJournal of banking & finance
dc.rightsrestrictedAccess
dc.sourceWeb of Science
dc.subjectPortfolio optimization
dc.subjectIndustry momentum
dc.subjectMinimum-variance portfolios
dc.titleUsing industry momentum to improve portfolio performance
dc.typeArticle (Journal/Review)


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