The Impacts of Information on Stock Prices Assessed by Social Media Sentiment

被引:25
作者
Cao, Guangxue [1 ]
机构
[1] Univ Amsterdam, Fac Sci, Amsterdam, Netherlands
来源
2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA) | 2017年
关键词
social media; stock price; sentiment analysis;
D O I
10.1109/iThings-GreenCom-CPSCom-SmartData.2017.8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper discusses why information on social media could reflect people's sentiment and how the sentiment further impacts stock prices. A synthesized theoretical model is introduced to answer why social media sentiment is able to impact stock prices, then experiments on stock prices and corresponding social media sentiment is conducted on two cases to verify the impacts. Based on the experiment results, statistical and rational analysis was put forward. This paper not only theoretically interpreted the phenomenons but also experimentally verified the correlationship. The conclusion manifests as social media sentiments is highly possible to have impacts on stock prices.
引用
收藏
页码:1 / 8
页数:8
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