Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3962
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dc.contributor.authorKim K.-
dc.contributor.authorLee S.-Y.T.-
dc.contributor.authorKauffman R.J.-
dc.date.accessioned2023-06-16T15:06:30Z-
dc.date.available2023-06-16T15:06:30Z-
dc.date.issued2016-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/3962-
dc.descriptionAuburn University;Claremont Graduate University;et al.;Kennesaw State University;SAP;University Of Tennessee Chattanoogaen_US
dc.description22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 -- 11 August 2016 through 14 August 2016 -- 123256en_US
dc.description.abstractWhat happens when uninformed investors trade stocks via mobile phones? Do they react to social sentiment differently than more informed traders in traditional trading? Based on 16,817 data observations and econometric analysis for the trading of 251 equities in Korea over 39 days, we present evidence of herding behavior among uninformed traders in the mobile channel. The results indicate that mobile traders seem more easily swayed by changing social sentiment. In addition, stock trading in the traditional channel probably influences sentiment formation in the market overall. Mobile traders follow signals in social media suggesting that they engage in less beneficial herding behavior, based on evidence that we obtained for the occurrence of more negative feedback trading. This allows us to offer a new interpretation of how mobile channel stock trading works, and open a new portal for analytics with digital data related to the trading behavior of different investors.en_US
dc.language.isoenen_US
dc.publisherAssociation for Information Systemsen_US
dc.relation.ispartofAMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEconometric analysisen_US
dc.subjectHerding behavioren_US
dc.subjectInvestor reactionsen_US
dc.subjectMachine learningen_US
dc.subjectMobile channelen_US
dc.subjectSocial mediaen_US
dc.subjectSocial sentimenten_US
dc.subjectStock tradingen_US
dc.subjectUninformed tradersen_US
dc.subjectValue tradersen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCellular telephonesen_US
dc.subjectE-learningen_US
dc.subjectFinancial marketsen_US
dc.subjectInformation systemsen_US
dc.subjectLearning systemsen_US
dc.subjectMobile devicesen_US
dc.subjectMobile phonesen_US
dc.subjectSocial networking (online)en_US
dc.subjectTelephone setsen_US
dc.subjectEconometric analysisen_US
dc.subjectHerding behaviorsen_US
dc.subjectInvestor reactionsen_US
dc.subjectMobile channelsen_US
dc.subjectSocial mediaen_US
dc.subjectSocial sentimenten_US
dc.subjectStock tradingen_US
dc.subjectUninformed tradersen_US
dc.subjectValue tradersen_US
dc.subjectCommerceen_US
dc.titleSocial sentiment and stock trading via mobile phonesen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-84987619315en_US
dc.authorscopusid54902688100-
dc.authorscopusid35083571300-
dc.identifier.wosWOS:000559951902105en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.grantfulltextreserved-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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