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Stock Comments Analysis Of The Impact Of Emotions On BYD Stock Price

Posted on:2024-08-25Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhangFull Text:PDF
GTID:2532307133495544Subject:Statistics
Abstract/Summary:PDF Full Text Request
As the Chinese financial and securities market gradually perfects,more and more enterprises choose to go public by publicly issuing stocks to the public,due to stable industry development.Going public allows these companies to obtain better cash flow,which can be used to promote their growth or expand business operations.A good stock price increase can provide ample cash flow for companies,and investors can also profit from the increase in stock prices.However,there are many factors that can cause fluctuations in stock prices,and investor sentiment may be one of them.This is the main topic explored in this article.However,with the opening of the securities market and the advent of the internet era,stock trading can now be done anytime,anywhere on internet-connected devices.Information is transmitted at an unprecedented speed,and as such,manual methods of statistics and judgement are no longer instantaneous.With the rise of quantitative and high-frequency trading,automated trading services can quickly execute stock trades based on predetermined strategies,so effective monitoring of the market,considering numerous factors,and continuously improving trading models is of great importance to every organization or individual engaged in quantitative trading.As 5G network technology and big data content gradually begin to be promoted and applied,more and more financial or political decisions will consider using big data or artificial intelligence to statistically analyze objective data,and make decisions based on the suggestions or predictions given by big data or artificial intelligence.Then,the results of the decisions will be fed back into statistical models or artificial intelligence to fill the real data and develop strategies based on the results,which has become a mainstream application.This article is based on the stock price data of BYD stock over the past year to explore the possible relationship between stock price fluctuations and the sentiment contained in investors’ personal comments,and will be summarized and presented through charts.In this research,the daily stock price of BYD Auto Company,a new energy vehicle manufacturer,and the company’s daily stock news,surveys,or stock reviews and corresponding replies and comments were used as the sample data to explore the correlation between comment sentiment factors and stock price fluctuations using the method provided in this article.Furthermore,the data was traced back to historical data to verify the predictive effect of comment sentiment classification and the company’s stock price fluctuations.The experimental results proved that the research method of this article can effectively judge the comment sentiment data of BYD stock,and there is a correlation between the comment sentiment data classification and the stock price fluctuations of the listed companies.In the study,it was found that the impact of stock price fluctuations on investor sentiment is not singular,but rather the extent and effect of the impact depend on the degree of the company’s stock price fluctuations.In the future,this method and conclusion can be further used to analyze downstream tasks related to stock market comments.
Keywords/Search Tags:stock commentary sentiment analysis, BERT, NLP, stock volatility, sentiment classification
PDF Full Text Request
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