股票市场
库存(枪支)
政府(语言学)
微博
情绪分析
面板数据
社会化媒体
业务
公共政策
经济
计量经济学
政治学
经济增长
计算机科学
人工智能
哲学
工程类
古生物学
生物
法学
机械工程
语言学
马
作者
Sijia Zhao,Ying Liu,Benfu Lv,Zijian Shangguan
摘要
During dramatic public health shocks, the impact of anti-epidemic policies on public sentiment is uncertain, and public sentiment has a significant impact on the stock market. But the relationship between the three is not clear. This paper uses government information release to reflect anti-epidemic policies, uses personal weibo to calculate public sentiment, and analyzes the relationship between Government information release, public sentiment and stock market. Through the Bi-LSTM classification model analysis about 200,000 microblog data during COVID-19, and build panel data regression model. The results show that: public sentiment have a significant positive impact on stock returns; Government information release have a significant positive impact on public sentiment; public sentiment play a intermediating role between government information release and stock market; Influenced by the enterprise size and the industry it belongs to, there is heterogeneity in public sentiment's impact.
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