The investor sentiment mined from WeChat text and stock market performance

SHI Shanchong, ZHU Yingnan, ZHAO Zhigang, KANG Kaili, XIONG Xiong

Systems Engineering - Theory & Practice ›› 2018, Vol. 38 ›› Issue (6) : 1404-1412.

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中国科学院数学与系统科学研究院期刊网
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Systems Engineering - Theory & Practice ›› 2018, Vol. 38 ›› Issue (6) : 1404-1412. DOI: 10.12011/1000-6788(2018)06-1404-09

The investor sentiment mined from WeChat text and stock market performance

  • SHI Shanchong1, ZHU Yingnan1, ZHAO Zhigang1, KANG Kaili1, XIONG Xiong2,3
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Abstract

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.

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mined from WeChat text / investor sentiment / stock market performance

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SHI Shanchong , ZHU Yingnan , ZHAO Zhigang , KANG Kaili , XIONG Xiong. The investor sentiment mined from WeChat text and stock market performance. Systems Engineering - Theory & Practice, 2018, 38(6): 1404-1412 https://doi.org/10.12011/1000-6788(2018)06-1404-09

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Funding

National Natural Science Foundation of China (71532009, 71320107003); Major Project of Social Science of Tianjin Education Commission (2014ZD13); Project of Social Science Foundation of Hebei Province of China (HB17GL031)
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