Empirical Research On Global Stock Market Network Structure Based On Complex Network

With the development of international market,the international financial activities have become more and more intense,and the financial market is more uncertain.The stock market as a matter of financial market,involving investment and financial and economic stability.Given by international market interest rates,inflation and other various elements,the several ups and downs of the stock market shows the characteristics of complex systems,traditional financial theory about the description of the stock market volatility become more and more difficult.Academia has a complex network of research Gui method used in every country on the stock market and stock index,but very little to do the analysis of the common stock markets around the world.Stock market network connection is multifarious,in fact,have the representative type of complex networks.Analysis stock market network has what kind of topology structure,the correlation on the stock market for us to provide the further direction.This credential analysis of the complex network theory,this paper selecting three years between 2008 and 2017,49 stock index data,calculate their close relative yields correlation coefficient,correlation coefficient as a selected stock network nodes,threshold value method is used to construct three years to have the right to network,to analyze stock market network topology.We can find that the global stock market network has a small world effect on the network,and then analyze the centrality of each node in the network.At the same time,we have the right to network structure,analyzes the influence of the size and degree of node distribution,finally,according to the analysis conclusion,some Suggestions to promote our country stock market linkages.