Analysis And Research Of Internet Stock Market's Development In China

Internet stock market is an important factor to promote development of China's social economy,which promotes deepening of reform and economic transformation and upgrading.Development of Internet stock market has also experienced different stages.Each stage of development has something worth studying.Now,in the context of continuous development of AI,big data and 5G technology,Internet of everything has become an important future trend.Internet has become a forefront of development of science and technology,and its importance has become increasingly obvious.It also has more social significance for a corresponding statistical analysis of development of China's Internet market.This paper analyses effectiveness of Internet stock market based on the daily closing price data of China Securities overseas China Internet Index and China Securities Internet Index from January 1,2016 to January 13,2020.At last,through using ADF test,LBQ test and other methods,it comes to a conclusion that Internet stock market is not weak efficient.At the same time,it combines the development status and future trend.This paper analyzes reasons for the weak effectiveness of Internet market,and gives relevant policy recommendations.Next,we study the structure of sequence data and the law of return volatility.Combining ARMA model,BDS test and other methods,it can be concluded that sequence data contains nonlinear structure.Through LBQ test on the square series of return rate and ARCH-LM test on the original series of return rate,we get a conclusion that there is ARCH effect in sample data,and then use EGARCH(1,1)to model the data,and verify rationality of the model.Then,we use this established model to draw impact curve of sample yield information to explore the response of Internet stock market to positive and negative information,and analyze "leverage effect" contained in the market.The orderly operation of Internet market is inseparable from healthy development of every enterprise.Finally,this paper analyzes practical problems faced by the development of C-end enterprises under the background of industrial Internet.Taking Today's Headlines as an example,this paper selects weekly data of headlines of XinBang.com as samples,and then classifies different headlines by means of K-means clustering and hierarchical clustering to explore characteristics of different categories of headlines,so as to provide reference for content-based products to take effective operation measures for authors.