Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25026
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMcMillan, Daviden_UK
dc.date.accessioned2017-02-28T00:18:56Z-
dc.date.available2017-02-28T00:18:56Zen_UK
dc.date.issued2003-12en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25026-
dc.description.abstractLinear predictability of stock market returns has been widely reported. However, recently developed theoretical research has suggested that due to the interaction of noise and arbitrage traders, stock returns are inherently non-linear, whereby market dynamics differ between small and large returns. This paper examines whether an exponential smooth transition threshold model, which is capable of capturing this non-linear behaviour, can provide a better characterization of UK stock market returns than either a linear model or an alternate non-linear model. The results of both in-sample and out-of-sample specification tests support the exponential smooth transition threshold model and hence the belief that investor behaviour does differ between large and small returns.en_UK
dc.language.isoenen_UK
dc.publisherWiley-Blackwell on behalf of the University of Oxford Economics Departmenten_UK
dc.relationMcMillan D (2003) Non-linear predictability of UK stock market returns. Oxford Bulletin of Economics and Statistics, 65 (5), pp. 557-573. https://doi.org/10.1111/j.1468-0084.2003.00061.xen_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.titleNon-linear predictability of UK stock market returnsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-16en_UK
dc.rights.embargoreason[McMillan-2003-Oxford_Bulletin_of_Economics_and_Statistics.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1111/j.1468-0084.2003.00061.xen_UK
dc.citation.jtitleOxford Bulletin of Economics and Statisticsen_UK
dc.citation.issn1468-0084en_UK
dc.citation.issn0305-9049en_UK
dc.citation.volume65en_UK
dc.citation.issue5en_UK
dc.citation.spage557en_UK
dc.citation.epage573en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildavid.mcmillan@stir.ac.uken_UK
dc.citation.date15/12/2003en_UK
dc.contributor.affiliationAccounting & Financeen_UK
dc.identifier.isiWOS:000187109100002en_UK
dc.identifier.scopusid2-s2.0-0345059859en_UK
dc.identifier.wtid539593en_UK
dc.contributor.orcid0000-0002-5891-4193en_UK
dcterms.dateAccepted2003-12-15en_UK
dc.date.filedepositdate2017-02-27en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMcMillan, David|0000-0002-5891-4193en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2999-12-16en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameMcMillan-2003-Oxford_Bulletin_of_Economics_and_Statistics.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0305-9049en_UK
Appears in Collections:Economics Journal Articles

Files in This Item:
File Description SizeFormat 
McMillan-2003-Oxford_Bulletin_of_Economics_and_Statistics.pdfFulltext - Published Version122.66 kBAdobe PDFUnder Embargo until 2999-12-16    Request a copy


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.