New Energy Industry Chain Based On Complex Network Research On Stock Price Fluctuation Of Listed Companies

In recent years,the new energy industry has ushered in an opportunity for rapid development.In addition to the internal development of the industry,the stock market has also received feedback.Firstly,the new energy industry is divided into three levels: mineral resources in the upstream,lithium battery materials in the middle stream,lithium battery manufacturing in the downstream,key components of new energy and vehicle manufacturing.The time series data of listed companies and their daily stock closing prices were obtained from each tourist as the research object,and Granger causality test was used to determine the causal relationship between the two stocks.Then,the causal relationship matrix is used to build a complex network,analyze the evolution characteristics of the new energy industry stock market,and identify several listed companies that occupy the core position in the upper,middle and lower reaches.Through processing the daily closing price data of core listed companies,the logarithmic rate of return is obtained to reflect the stock price fluctuations of listed companies.The coarse-grained method is used to give symbol sequences such as S,O and X to represent the volatility direction of stock prices.The strings connected by adjacent days are defined as modes,and the modes reflecting volatility are taken as nodes.The conversion between the modes of adjacent dates is the edge connection,and the frequency of mode exchange is the weight.A complex network of modal fluctuations is constructed to study the evolution characteristics of the network,and the changing rule of stock price is explored through statistical indicators and topological characteristics.In order to further study the law of correlation change among stock prices,starting from the idea of co-direction and reverse,the coarse-grained method is still used to represent the correlation relationship between listed companies with strings formed by T,F and O characters,and the correlation matrix is constructed.Nodes,edges and weights were defined in an approximate way.Each letter sequence was taken as an independent mode and regarded as a node.The transformation between sequences was taken as an edge.Through the analysis of statistical indicators and network topology analysis,the research conclusion puts forward the regular transformation of some of the modes and the transformation of some of the main modes of the approximate probability,which provides a theoretical basis for the stock market participants.By studying the change rule of stock prices of core listed companies in the new energy industry chain,it is found that the trend and probability of stock price fluctuations are conducive to investors’ rational choice of investment portfolio.The stock market is affected by many factors and theoretically there is diversity,but the modes can help to understand the concentrated characteristics of changes.Some volatility modes never appear can help automatically filter out a lot of useless information and minimize investment risk as much as possible;It is helpful for the new energy stock market regulators to formulate regulatory policies to deal with the high volatility and high risk of stock prices.