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A Study of Relationship between Investor Sentiment and Stock Price : Realization of Investor Sentiment Classification Based on Bayesian Model

Authors :
Xing-Hua Liu
Wen-Jin Wang
Yu-Xin Zhang
Yi-Jiao Liu
Source :
2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The effectiveness of China’s stock market is low, and the degree of information disclosure is worse than that of capital markets in developed countries. In particular, GEM stocks are slow to reflect basic supply and demand factors, and investor sentiment will have an impact on GEM stock prices. This paper selects the historical posting data of “GEM Finger Bar” of Eastmoney website. Firstly, Bayesian model algorithm is used to classify the sentiment of text comments, and investor sentiment proxy variables are constructed. Then, through correlation analysis and Granger causality test, the relationship between investor sentiment and the GEM stock price in China is empirically studied. The results show that there is a strong correlation between GEM stock prices and investor sentiment.

Details

Database :
OpenAIRE
Journal :
2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)
Accession number :
edsair.doi...........0f1f3ca519ce992fcdba2622c1ba2767
Full Text :
https://doi.org/10.1109/isceic51027.2020.00015