Font Size: a A A

Research On The Influence Of Internet Social Sentiment On The Fluctuation Of Lsted Stock Price

Posted on:2021-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:P P ZhangFull Text:PDF
GTID:2439330623479112Subject:Finance
Abstract/Summary:PDF Full Text Request
With the popularity of the internet and the increasing participation of internet users,information about the stock market has exploded.A large number of individual investors search for stock prices information on professional websites.They also post their own unique opinions,discuss with others the trend of stock prices,constantly revise their predictions and actions,and their behaviors influence other investors.Due to the faulty securities investment environment,investors' quality also need to be further improved.Meanwhile,traders' irrationality is evident.In this case,if there is no check on the network public opinion,there will be a series of confusing rumors,causing the "flock effect" among investors,social effects.This will lead to chaos such as stock market volatility.Especially in the period of stock market turbulence,the network public opinion formed by the exchanges between investors significantly aggravates the volatility of relevant stock prices in the market and amplifies the changes of the market by several times.The above discussed influence has a certain negative impact on maintaining China's financial stability and promoting the healthy development of the stock market.At the same time,the dissemination of online public opinion information in the turbulent market is also likely to mislead investors and aggravate investors' losses.Therefore,by studying the influence of online public opinions on stock price volatility,we can not only supplement theory on behavioral finance,but also improve the theory of market efficiency.In this way we can understand the effect of securities market from a new perspective and provide optimal choice of stability mechanism.The significance of this paper also lies in exploringways to strengthen the supervision of online public opinions,so as to reduce the inefficiency of the securities market caused by information asymmetry.Through understanding these problems,we can improve the regulation of the securities market,the reform of the information disclosure mechanism of listed companies,as well as the transparency of information dissemination in the securities market.We note that with the rapid development of new social media,the influence of online public opinions on abnormal stock market fluctuations should be paid attention to by relevant departments.By combining the python software with the methods of text mining,we gather data from the social platform for some of the biggest professional investors,according to the hot Google search.By testing the Pearson correlation coefficient of the comment data on the data samples of each stock,we prove that the public sentiments of investors have an impact on the stock price,trading volume,price fluctuation and lagging relationship,as well as the extent of the impact.Therefore,the study and analysis of online public opinions can effectively help investors improve their investment strategies and improve the management plan and development direction of listed companies.
Keywords/Search Tags:online social sentiment, herd effect, emotion analysis, Pearson correlation coefficient, python data mining
PDF Full Text Request
Related items