Publication Type

Conference Proceeding Article

Publication Date

8-2016

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.

Keywords

Econometric analysis, herding behavior, investor reactions, machine learning, mobile channel, socialmedia, social sentiment, stock trading, uninformed traders, value traders.

Discipline

Computer Sciences

Research Areas

Information Systems and Management

Publication

Proceedings of the 22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016; San Diego, United States, 2016 August 11-14

Publisher

Association for Information Systems

City or Country

San Diego, USA

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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