|
[1]
|
Wen, F., Yang, X. and Zhou, W.X. (2019) Tail Dependence Networks of Global Stockmarkets. International Journal of Finance & Economics, 24, 558-567. [Google Scholar] [CrossRef]
|
|
[2]
|
卜林, 王雪杰, 刘志强. 全球股票市场系统性风险传递网络研究[J]. 国际金融研究, 2020(3): 87-96.
|
|
[3]
|
邓向荣, 曹红. 系统性风险, 网络传染与金融机构系统重要性评估[J]. 中央财经大学学报, 2016(3): 52-60.
|
|
[4]
|
Gong, X.L., Liu, X.H., Xiong, X. and Zhang, W. (2019) Financial Systemic Risk Measurement Based on Causal Network Connectedness Analysis. International Review of Economics & Finance, 64, 290-307. [Google Scholar] [CrossRef]
|
|
[5]
|
王克达, 庞晓波, 王姗姗. 金融危机对全球股票市场的传染研究: 基于复杂网络分析方法[J]. 世界经济研究, 2018(4): 28-39.
|
|
[6]
|
章晟, 李士岩. 基于关联性角度的系统性风险度量模型研究综述[J]. 武汉金融, 2016(2): 27-31.
|
|
[7]
|
Neveu, A.R. (2018) A Survey of Network-Based Analysis and Systemic Risk Measurement. Journal of Economic Interaction & Coordination, 13, 1-41. [Google Scholar] [CrossRef]
|
|
[8]
|
Levy-Carciente, S., Kenett, D.Y., Avakian, A., Stanley, H.E. and Havlin, S. (2015) Dynamical Macroprudential Stress Testing Using Network Theory. Journal of Banking & Finance, 59, 164-181. [Google Scholar] [CrossRef]
|
|
[9]
|
汪小帆, 李翔, 陈关荣. 复杂网络理论及其应用[M]. 北京: 清华大学出版社, 2006.
|
|
[10]
|
Billio, M., Lo, A.W., Sherman, M.G. and Pelizzon, L. (2012) Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors. Social Science Electronic Publishing, 104, 535-559. [Google Scholar] [CrossRef]
|
|
[11]
|
Diebold, F.X. and Yilmaz, K. (2014) On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms. Journal of Econometrics, 182, 119-134. [Google Scholar] [CrossRef]
|
|
[12]
|
Nikolaus, H., Julia, S. and Melanie, S. (2013) Financial Network Systemic Risk Contributions. SSRN Electronic Journal, 19, 685-738. [Google Scholar] [CrossRef]
|
|
[13]
|
Wang, G.J., Xie, C., He, K. and Stanley, H.E. (2017) Extreme Risk Spillover Network: Application to Financial Institutions. Quantitative Finance, 17, 1417-1433. [Google Scholar] [CrossRef]
|
|
[14]
|
Härdle, W.K., Wang, W. and Yu, L. (2016) TENET: Tail-Event Driven Network Risk. Journal of Econometrics, 192, 499-513. [Google Scholar] [CrossRef]
|
|
[15]
|
Adrian, T. and Brunnermeier, M.K. (2016) CoVaR. American Economic Review, 106, 1705-1741. [Google Scholar] [CrossRef]
|
|
[16]
|
王天一. 国际间股市的有向尾部风险溢出现象[J]. 浙江社会科学, 2011(10): 2-11.
|
|
[17]
|
曾裕峰, 温湖炜, 陈学彬. 股市互联、尾部风险传染与系统重要性市场——基于多元分位数回归模型的分析[J]. 国际金融研究, 2017(9): 86-96.
|
|
[18]
|
谢福座. 基于CoVaR方法的金融风险溢出效应研究[J]. 金融发展研究, 2010(6): 59-63.
|
|
[19]
|
叶莉, 王远哲, 陈勇勇. 基于尾部风险关联网络的中国金融机构间风险溢出效应研究[J]. 统计与信息论坛, 2019, 34(3): 55-64.
|
|
[20]
|
Hu, S., Gu, Z., Wang, Y. and Zhang, X. (2019) An Analysis of the Clustering Effect of a Jump Risk Complex Network in the Chinese Stock Market. Physica A: Statistical Mechanics and Its Applications, 523, 622-630. [Google Scholar] [CrossRef]
|
|
[21]
|
Wang, G.J., Jiang, Z.Q., Lin, M., Xie, C. and Stanley, H.E. (2018) Interconnectedness and Systemic Risk of China’s Financial Institutions. Emerging Markets Review, 35, 1-18. [Google Scholar] [CrossRef]
|