首页 | 本学科首页   官方微博 | 高级检索  
     


Identifying systemically important financial institutions in complex network: A case study of Chinese stock market
Abstract:In this paper, we identify the dynamic influence of financial institutions based on a complex network modelling method. We first construct a financial network based on stock comprehensive evaluation (SCE), which is obtained by the technique for order preference by similarity to an ideal solution (TOPSIS). Then, the dynamic influence of financial institutions is identified by iterating the static influence of each network. The results indicate that (i) the dynamic influence of financial institutions is greater than their static influence in analysing the evolution of influence and (ii) banks and securities institutions play an important role in the financial system.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号