The Relationship Between Social Attention and the Risk of Stock Price Collapse of Enterprises: Perspective from Baidu Tieba

Abstract

With the rapid progress of the world economy, the problem of stock price collapse has become a major threat to the stable development of stock markets in various industries. Based on Baidu Tieba, this paper collects the stock price data of each listed company in the CSMAR database as the dependent variable NCSKEW_Mdeq, the total posts, total users and average repost number as the independent variables. Use Stata to conduct regression analysis on the two. As a result, it was found a significant negative link between Total Posts and Total Users and the dependent variable NCSKEW_Mdeq and there was no statistically significant link between Avg Repost Num and the dependent variable. This study provides a brand-new perspective for reducing the risk of stock price collapse in enterprises, aiming to explore and analyze the key factors that affect the stability of corporate stock prices, and thus provide clear direction and strong theoretical support for future research on protecting the interests of shareholders.