dc.contributor | FGV | |
dc.creator | Behr, Patrick | |
dc.creator | Guettler, Andre | |
dc.creator | Truebenbach, Fabian | |
dc.date.accessioned | 2018-05-10T13:36:09Z | |
dc.date.accessioned | 2022-11-03T20:26:24Z | |
dc.date.available | 2018-05-10T13:36:09Z | |
dc.date.available | 2022-11-03T20:26:24Z | |
dc.date.created | 2018-05-10T13:36:09Z | |
dc.date.issued | 2012-05 | |
dc.identifier | 0266-6669 / 1741-6469 | |
dc.identifier | http://hdl.handle.net/10438/23255 | |
dc.identifier | 10.1016/j.jbankfin.2011.12.007 | |
dc.identifier | 000302445800014 | |
dc.identifier | Guettler, Andre/0000-0003-2743-5250 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5038420 | |
dc.description.abstract | Minimum-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.language | eng | |
dc.publisher | Elsevier Science Bv | |
dc.relation | Journal of banking & finance | |
dc.rights | restrictedAccess | |
dc.source | Web of Science | |
dc.subject | Portfolio optimization | |
dc.subject | Industry momentum | |
dc.subject | Minimum-variance portfolios | |
dc.title | Using industry momentum to improve portfolio performance | |
dc.type | Article (Journal/Review) | |