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Lest we forget: learn from out-of-sample errors when optimizing portfolios

dc.contributor.authorBarroso, Pedro
dc.contributor.authorSaxena, Konark
dc.date.accessioned2021-09-20T14:56:50Z
dc.date.available2021-09-20T14:56:50Z
dc.date.issued2020-09-28
dc.description.abstractPortfolio optimization often struggles in realistic out-of-sample contexts. We de-construct this stylized fact, comparing historical forecasts of portfolio optimization inputs with subsequent out of sample values. We confirm that historical forecasts are imprecise guides of subsequent values but also find the resulting forecast errors are not entirely random. They have predictable patterns and can be partially reduced using their own history. Learning from past forecast errors to calibrate inputs (akin to empirical Bayesian learning) results in portfolio performance that reinforces the case for optimization. Furthermore, the portfolios achieve performance that meets expectations, a desirable yet elusive feature of optimization methods.pt_PT
dc.description.versioninfo:eu-repo/semantics/submittedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/35011
dc.language.isoengpt_PT
dc.subjectPortfolio optimizationpt_PT
dc.subjectRisk managementpt_PT
dc.subjectEstimation errorpt_PT
dc.subjectCovariance matrixpt_PT
dc.titleLest we forget: learn from out-of-sample errors when optimizing portfoliospt_PT
dc.typepreprint
dspace.entity.typePublication
oaire.citation.endPage29pt_PT
oaire.citation.startPage1pt_PT
person.familyNameBarroso
person.givenNamePedro
person.identifier.ciencia-idA91D-5E43-AF7F
person.identifier.orcid0000-0002-6983-3620
person.identifier.scopus-author-id56567841500
rcaap.rightsopenAccesspt_PT
rcaap.typepreprintpt_PT
relation.isAuthorOfPublication8eab4693-f56f-4a90-8db8-5eca74f1f81e
relation.isAuthorOfPublication.latestForDiscovery8eab4693-f56f-4a90-8db8-5eca74f1f81e

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