Google search-based sentiment indexes

dc.contributor.authorBrochado, A.
dc.date.accessioned2020-03-16T17:38:49Z
dc.date.available2020-03-16T17:38:49Z
dc.date.issued2020
dc.date.updated2021-01-22T14:58:10Z
dc.description.abstractThis study sought to confirm whether Internet search-based data have the potential both to reveal populations’ underlying beliefs directly and to affect stock markets of countries – in this case, Portugal. Based on the Internet search volume of several queries related to household concerns, we constructed two Google-based sentiment measures encompassing both positive and negative search terms. The results reveal that both measures are correlated with aggregate stock market returns, trading volume and abnormal trading volume. The results contribute to the literature by highlighting the different roles of positive and negative sentiment in stock market activityeng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1016/j.iimb.2019.10.015
dc.identifier.issn0970-3896
dc.identifier.urihttp://hdl.handle.net/10071/20101
dc.journalIIMB Management Review
dc.language.isoeng
dc.number3
dc.pagination325 - 335
dc.peerreviewedyes
dc.publisherElsevier
dc.relationUID/GES/00315/2013
dc.rightsopen access
dc.subjectInvestor sentimenteng
dc.subjectSearch-based dataeng
dc.subjectStock marketeng
dc.subjectPortugaleng
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.titleGoogle search-based sentiment indexeseng
dc.typearticle
dc.volume32
degois.publication.firstPage325
degois.publication.issue3
degois.publication.lastPage335
degois.publication.titleGoogle search-based sentiment indexeseng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85094851298
iscte.alternateIdentifiers.wosWOS:000603338800008
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-63027

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