On robust mean-variance portfolios
dc.citation.epage | 1048 | en_US |
dc.citation.issueNumber | 5 | en_US |
dc.citation.spage | 1039 | en_US |
dc.citation.volumeNumber | 65 | en_US |
dc.contributor.author | Pınar, M. Ç. | en_US |
dc.date.accessioned | 2018-04-12T10:46:23Z | |
dc.date.available | 2018-04-12T10:46:23Z | |
dc.date.issued | 2016 | en_US |
dc.department | Department of Industrial Engineering | en_US |
dc.description.abstract | We derive closed-form portfolio rules for robust mean–variance portfolio optimization where the return vector is uncertain or the mean return vector is subject to estimation errors, both uncertainties being confined to an ellipsoidal uncertainty set. We consider different mean–variance formulations allowing short sales, and derive closed-form optimal portfolio rules in static and dynamic settings. | en_US |
dc.description.provenance | Made available in DSpace on 2018-04-12T10:46:23Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016 | en |
dc.identifier.doi | 10.1080/02331934.2015.1132216 | en_US |
dc.identifier.eissn | 1029-4945 | |
dc.identifier.issn | 0233-1934 | |
dc.identifier.uri | http://hdl.handle.net/11693/36629 | |
dc.language.iso | English | en_US |
dc.publisher | Taylor and Francis | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1080/02331934.2015.1132216 | en_US |
dc.source.title | Optimization | en_US |
dc.subject | Adjustable robustness | en_US |
dc.subject | Ellipsoidal uncertainty | en_US |
dc.subject | Mean–variance portfolio theory | en_US |
dc.subject | Robust optimization | en_US |
dc.title | On robust mean-variance portfolios | en_US |
dc.type | Article | en_US |
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