The Characteristics Analysis of the Stock Network Based on Weighted Relative Values :an example of information service industry
Ping Hu, Jie Qi, Bingqing Wang
Available Online July 2013.
- https://doi.org/10.2991/icssr-13.2013.93How to use a DOI?
- complex network; stock price; small-world features; power-law features
- Based on the data of the information services stock network in Shanghai A-share and Shenzhen A-share, this paper established a matrix according to the correlation of the stock price fluctuation. Because China's stock market is "starting late and immature” compared with global stock markets, the market value of shares does not truly reflect the intrinsic value of the company. Pointing to the problem, it is better to use financial index system to calculate the weight instead of using stock price directly. Then the matrix is dealt with the threshold method and establishes the stock network. By analyzing the evolving characteristics of the stock network, this paper got the following conclusions: (1) the Chinese stock networks has the small-world feature, which means the relationship between the listed companies in information service is very close;(2) the stock network follows the power-law distribution, and the power-law index is 1.098 and 1.120 respectively, which indicates that they are scale-free networks and there are some stocks which have large influence on others in each network;(3) It is feasible to reflect the true value of the company by using financial index system to calculate the relatively value of company as weights.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ping Hu AU - Jie Qi AU - Bingqing Wang PY - 2013/07 DA - 2013/07 TI - The Characteristics Analysis of the Stock Network Based on Weighted Relative Values :an example of information service industry BT - 2nd International Conference on Science and Social Research (ICSSR 2013) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icssr-13.2013.93 DO - https://doi.org/10.2991/icssr-13.2013.93 ID - Hu2013/07 ER -