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dc.contributor.authorFernandes, Men_US
dc.contributor.authorMedeiros, MCen_US
dc.contributor.authorScharth, Men_US
dc.date.accessioned2016-11-01T13:41:08Z
dc.date.available2013-11-04en_US
dc.date.issued2014-03en_US
dc.date.submitted2016-10-17T11:06:05.003Z
dc.identifier.issn0378-4266en_US
dc.identifier.other10.1016/j.jbankfin.2013.11.004
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/16198
dc.description.sponsorshipThe authors are very grateful to financial support from the ESRC under the Grant RES-062-23-0311 (Fernandes) and from CNPq-Brazil (Medeiros), respectively.en_US
dc.format.extent1 - 10en_US
dc.language.isoenen_US
dc.relation.ispartofJOURNAL OF BANKING & FINANCEen_US
dc.rightsCreative Commons Attribution Non-Commercial No Derivatives License
dc.subjectHeterogeneous autoregressionen_US
dc.subjectImplied volatilityen_US
dc.subjectNeural networksen_US
dc.subjectVIXen_US
dc.titleModeling and predicting the CBOE market volatility indexen_US
dc.typeArticle
dc.rights.holder2014. Elsevier BV
dc.identifier.doi10.1016/j.jbankfin.2013.11.004en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000331422900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume40en_US


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