Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3962
Title: Social sentiment and stock trading via mobile phones
Authors: Kim K.
Lee S.-Y.T.
Kauffman R.J.
Keywords: Econometric analysis
Herding behavior
Investor reactions
Machine learning
Mobile channel
Social media
Social sentiment
Stock trading
Uninformed traders
Value traders
Artificial intelligence
Cellular telephones
E-learning
Financial markets
Information systems
Learning systems
Mobile devices
Mobile phones
Social networking (online)
Telephone sets
Econometric analysis
Herding behaviors
Investor reactions
Mobile channels
Social media
Social sentiment
Stock trading
Uninformed traders
Value traders
Commerce
Publisher: Association for Information Systems
Abstract: What 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.
Description: Auburn University;Claremont Graduate University;et al.;Kennesaw State University;SAP;University Of Tennessee Chattanooga
22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 -- 11 August 2016 through 14 August 2016 -- 123256
URI: https://hdl.handle.net/20.500.14365/3962
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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