Mobile Informed Trading Leveraging Social Sentiment

Kim Kwansoo, Thierno Tounkara

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Past works exploring the relationship between social sentiment and stock markets have been of great interest to investors and scholars across multiple disciplines. In this study, we debate whether informed trading is practically connected with social media information even though uninformed trading is commonly linked with social sentiment. We measure the probability of informed trading and perform analysis of covariance on a data set classifying firm cohorts on two trading channels, traditional and mobile. The results show that the influence of positive sentiment on informed trading is statistically significant for well-known firm group on the mobile channel. However, negative sentiment and other factors do not affect the informed trading in the same setting. This implies that social media is likely to be a channel for mobile informed trading, which is different from previous research. This study offers new insights into the economic impact of social media on the informed trading.
Original languageEnglish
Publication date2020
Publication statusPublished - 2020
Externally publishedYes
Event26th Americas Conference on Information Systems. AMCIS 2020: Virtual Conference - Virtual
Duration: 10 Aug 202014 Aug 2020
Conference number: 26
https://amcis2020.aisconferences.org/

Conference

Conference26th Americas Conference on Information Systems. AMCIS 2020
Number26
LocationVirtual
Period10/08/202014/08/2020
Internet address

Keywords

  • Probability of informed trading
  • Mobile channel
  • Social sentiment
  • Textual analysis
  • ANCOVA

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