Stock Market Temporal Complex Networks Construction, Robustness Analysis, and Systematic Risk Identification: A Case of CSI 300 Index
The Chinese stock 300 index (CSI 300) is widely accepted as an overall reflection of the general movements and trends of the Chinese A-share markets. Among the methodologies used in stock market research, the complex network as the extension of graph theory presents an edged tool for analyzing inter...
Saved in:
Main Authors: | Xiaole Wan, Zhen Zhang, Chi Zhang, Qingchun Meng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/7195494 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Jump Risk Contagion Under Regime Switching: An Empirical Analysis Based on the CSI 300 Index and the Hang Seng Index
by: Hongjun Duan, et al.
Published: (2024-01-01) -
Forecasting Return Volatility of the CSI 300 Index Using the Stochastic Volatility Model with Continuous Volatility and Jumps
by: Xu Gong, et al.
Published: (2014-01-01) -
CSI-based underground personnel behavior identification method
by: Lei ZHANG, et al.
Published: (2020-12-01) -
Deep and robust resource allocation for random access network based with imperfect CSI
by: Weihua WU, et al.
Published: (2020-07-01) -
Impact of Sanction Shock on Iran's Stock Market Index
by: Reza Tehrani, et al.
Published: (2024-06-01)