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dc.contributor.authorKrkoska, Eduard
dc.contributor.authorSchenk-Hoppe, Klaus Reiner
dc.date.accessioned2020-01-27T09:44:32Z
dc.date.available2020-01-27T09:44:32Z
dc.date.created2020-01-22T14:35:10Z
dc.date.issued2019
dc.identifier.issn1911-8066
dc.identifier.urihttp://hdl.handle.net/11250/2637994
dc.description.abstractWe highlight herding of investors as one major risk factor that is typically ignored in statistical approaches to portfolio modelling and risk management. Our survey focuses on smart-beta investing where such methods and investor herding seem particularly relevant but its negative effects have not yet come to the fore. We point out promising and novel approaches of modelling herding risk which merit empirical analysis. This financial economists’ perspective supplements the vast statistical exploration of implementing factor strategiesnb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectherdingnb_NO
dc.subjectfactor investingnb_NO
dc.subjectrisknb_NO
dc.titleHerding in Smart-Beta Investment Productsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume12nb_NO
dc.source.journalJournal of Risk and Financial Managementnb_NO
dc.identifier.doi10.3390/jrfm12010047
dc.identifier.cristin1780196
cristin.unitcode191,15,0,0
cristin.unitnameInstitutt for finans
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal