The investor sentiment mined from WeChat text and stock market performance

被引：0
|
作者：
Shi S. [1 ]
Zhu Y. [1 ]
Zhao Z. [1 ]
Kang K. [1 ]
Xiong X. [2 ,3 ]
机构：
[1] School of Economics and Management, Hebei University of Technology, Tianjin
[2] College of Management and Economics, Tianjin University, Tianjin
[3] China Social Computing Research Center, Tianjin University, Tianjin
来源：
| 2018年 / Systems Engineering Society of China卷 / 38期
基金：
中国国家自然科学基金;
关键词：
Investor sentiment; Mined from WeChat text; Stock market performance;
D O I：
10.12011/1000-6788(2018)06-1404-09
中图分类号：
学科分类号：
摘要：
This paper collects the investor sentiment mined from WeChat text, Shanghai securities composite index closing price and trading volume to research the relationship between the investor sentiment time series and the stock market performance time series. The result indicates that the way and the effect of three kinds of investor sentiment’s influencing on the stock market performance are very different: the negative investor sentiment mined from WeChat text can predict Shanghai securities composite index’s closing price steadily; the rate variation of positive and neutral investor sentiment tendency lagging the first day can cause the variation of Shanghai securities composite index’s trading volume rapidly. The result shows that the investor sentiment mined from WeChat text is of great importance to researching and predicting the stock market performance. © 2018, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：1404 / 1412
页数：8
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