| Stock price volatility is a common phenomenon in the stock market.There are some correlations between the stocks circulating in the market,the stocks in the stock market,and the economic environment.The correlation between these stock market factor variables causes the stock prices to fluctuate,and Fluctuations between stocks can be transmitted due to external environmental influences,so fluctuations in individual stocks can cause fluctuations in other stocks.The fluctuations in stock prices have caused some adverse effects on institutional investors,listed companies,small and medium-sized investors,and government market participants in investment decisions,corporate development strategies,investment concept cultivation,market supervision,etc.Destruction of the stable development of the stock market,increase the risk of the stock market,damage the interests of investors,is not conducive to the healthy development of the national economy.This paper takes 118 stocks of Shenyin Wanguo Nonferrous Metals Industry as the research object,and studies the Granger causality between the time series of non-ferrous metal stocks and the daily data to reflect the correlation between stock fluctuations in the non-ferrous metals industry.The Granger causality relationship between the stock’s rise and fall data is mapped to the complex network,with the stocks of the non-ferrous metals industry as the nodes,and the Granger causality between the stocks’ rise and fall data is the edge.From 2017 to 2017,for the time span,15 non-ferrous metals industry stock price fluctuation transmission related networks were constructed.Firstly,the relevant statistical parameters(outdegree,intermediate degree,close centrality,agglomeration coefficient,etc.)of nodes in each network from 2003 to 2017 are calculated.According to these network indicators,the network radiation capacity,centrality and agglomeration are constructed.The comprehensive index;secondly,calculate the radiation capacity,centrality and agglomeration of each stock in the network,and rank the stock according to the height of each variable;then list the radiation ability,centrality and agglomeration of the network over the years.Several key stocks are studied separately to study the evolution of the radiation capacity ranking of stocks with strong radiation ability.The same is to list the evolution of the central ranking of key stocks with strong centrality and the clustering evolution of key stocks with strong concentration.Finally,the study of the evolution of the radiation capabilities,central evolution and agglomeration evolution of these key stocks in the process of network evolution on their respective market subject behavior(investor behavior,listed companies and regulatory agencies),research shows that stocks Effect of Volatility Transmission Capacity on Investor Behavior and Listed Company Behavior... |
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