Correlation Analysis Of Topology Of Stock Volume Of Chinese Shanghai And Shenzhen 300 Index

On the macroscopic view, with the end of 2014 to the first half of 2015.The price of the stock was rose rapidly at the beginning, and then, after a series of adjustments and several large crash, the stock market has become increasingly received attention. On the microscopic view, several small new industries’ grow also need to inject funds. In particular, some high-tech industries which capital return period is long and needn’t a large amount of funds. But these small businesses are difficult to loans from banks. So it is imminent to solve their survival problem to achieve the goal of entrepreneurship to create jobs and maintain social stability and development. The voice of fully open the National Equities Exchange and Quotations(NEEQ) is increase quickly. At the same time, some large funds, brokerages and other financial institutions are also trying to expand new business and to find suitable investment opportunities and internet. In this context, the study of the stock market is very meaningful.In this paper, firstly use the data of 224 component stocks of Shanghai and Shenzhen 300 index from January 2, 2014 to December 31, 2014, a total of 245 days, to establish the network. Then use the threshold method of general election to build a number of different associated networks for different thresholds, and verify the nature of small world. Finally, we calculate various indicators of central and together to draw some conclusions.The main conclusions are as follows:(1) Degree centrality is mainly to test the ability of direct connected of a node with other nodes. When changes in its volume, there is an impact with nodes of direct linked. Also these nodes will in turn have a direct impact on it.JiLinAoDong which node number is 214, ZhongGuoShenHua which node number is 90 and NanFangHangKong which node number is 82 are all in the top ten list for each case of threshold value. BaoGangGuFen which node number is 104, ShanXiZhengQuan which node number is 208 and ZhongGuoLianTong which node number is 27 are all in the top twenty list for each case of threshold value. So, JiLinAoDong can directly affect the largest number of component shares of Shanghai and Shenzhen 300 index, and it also affected greatest impact by other equities. There are also a great number of shares which ZhongGuoShenHua and NanFangHangKong affect directly. They are ranked the second and the third place, and they also suffer a great impact on other equities. BaoGangGuFen, ShanXiZhengQuan and ZhongGuoLianTong are ranked in four to six. They have a large direct influence with other stocks.(2) Closeness centrality is a measure of the speed of impact to other nodes when a node’s volume changed.JiLinAoDong which node number is 214, ZhongGuoShenHua which node number is 90 and NanFangHangKong which node number is 82 are all in the top ten list for each case of threshold value. BaoGangGuFen which node number is 104 and ShanXiZheng Quan which node number is 208 are all in the top twenty list for each case of threshold value. So, JiLinAoDong can impact other component stocks of Shanghai and Shenzhen 300 index at the fastest speed, and affected other stocks’ volatility is also the largest. The speed of ZhongGuoShenHua which ranked at the second place affect other shares is quickly. And fluctuations by other stocks are also huge. BaoGangGuFen, ShanXiZhengQuan and NanFangHangKong are ranked in three to five. They are affected by fluctuations of other stocks as well.(3)Betweenness centrality measures the frequency of a node on the shortest path of other nodes. And investigate whether the node’s “location” is “very good”.JiLinAoDong which node number is 214 is all in the top ten list for each case of threshold value. JiangXiTongYe which node number is 164 is all in the top twenty list for each case of threshold value. ZhongGuoShenHua which node number is 90 and NanFangHangKong which node number is 82 are also more forward for each case of threshold value. So JiLinAoDong is on the best location of component stocks of Shanghai and Shenzhen 300 index. And the dependence is on the highest level. The location of JiangXiTongYe is also very good, and the dependence is ranked second. ZhongGuoShenHua and NanFangHangKong are in the third and fourth place.