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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