[1] 唐振鹏, 谢智超,冉梦,等. 网络视角下我国上市银行间市场系统性风险实证研究[J]. 中国管理科学, 2016, 24(S1): 489-494.Tang Zhenpeng, Xie Zhichao, Ran Meng, et al. Systemic risk empirical study of China listed bank market under The network perspective[J]. Chinese Journal of Management Science, 2016, 24(S1):489-494. [2] Shahzad S, Hernandez J, Rehman M, et al. A global network topology of stock markets: Transmitters and receivers of spillover effects[J]. Physica A: Statistical Mechanics and its Applications, 2018, 492: 2136-2153. [3] 刘超, 徐君慧, 周文文. 中国金融市场的风险溢出效应研究——基于溢出指数和复杂网络方法[J]. 系统工程理论与实践, 2017, 37(4): 831-842.Liu Chao, Xu Huijun, Zhou Wenwen. Study on risk spillover effect of financial markets in China based on methods of spillover index and complex network[J].System Engineering Theory and Practice, 2017, 37(4): 831-842. [4] Zeng Zhijian, Xie Chi, Yan Xinguo, et al. Are stock market networks non-fractal? Evidence from New York Stock Exchange[J]. Finance Research Letters, 2016(17): 97-102. [5] 李岸, 粟亚亚, 乔海曙. 中国股票市场国际联动性研究—基于网络分析方法[J]. 数量经济技术经济研究, 2016(8): 113-127.Li An, Su Yaya, Qiao Haishu. Co-movement between Chinese and global stock market: A network approach[J]. The Journal of Quantitative & Technical Economics, 2016(8): 113-127. [6] 谢赤, 胡珏, 王钢金. 基于随机矩阵理论的股市网络拓扑性质研究[J]. 运筹与管理, 2018, 27(1): 144-152.Xie Chi, Hu Jue, Wang Gangjin. Study on topological property of stock market's network based on random matric method[J]. Operations Research and Management Science, 2018, 27(1): 144-152. [7] Adams Z, Füss R, Gropp R. Spillover effects among financial institutions: A state-dependent sensitivity value-at-risk approach[J]. Journal of Financial and Quantitative Analysis, 2014, 49(3): 575-598. [8] Adrian T, Brunnermeier M. CoVaR[J]. American Economic Review, 2016, 106(7): 1705-1741. [9] López G, Moreno A, Rubia A, et al. Short-term wholesale funding and systemic risk: A global CoVaR approach[J]. Journal of Banking & Finance, 2012, 36(12): 3150-3162. [10] Hamid A, Heiden M. Forecasting volatility with empirical similarity and Google Trends[J]. Journal of Economic Behavior &Organization, 2015, 117: 62-81. [11] 陈其安, 雷小燕. 货币政策、投资者情绪与中国股票市场波动性: 理论与实证[J]. 中国管理科学, 2017, 25(11): 1-11.Chen Qian, Lei Xiaoyan. Monetary policy, investor sentiment and volatility of Chinese stock market: theory and evidence[J]. Chinese Journal of Management Science, 2017, 25(11): 1-11. [12] Hrdle W, Wang Weining, Yu Lining. Tenet: Tail-event driven network risk[J]. Journal of Econometrics, 2016, 192(2): 499-513. [13] Fan Yan, Hrdle W, Wang Weining, et al. Single-index-based CoVaR with very high-dimensional covariates[J]. Journal of Business & Economic Statistics, 2018, 36(2): 212-226. [14] Lee W Y, Jiang C X, Indro D C. Stock market volatility, excess returns, and the role of investor sentiment[J]. Journal of Banking & Finance, 2002, 26(12): 2277-2299. [15] Baker M, Wurgler J. A catering theory of dividends[J]. The Journal of Finance, 2004, 59(3): 1125-1165. [16] 陈荣达, 林博, 何诚颖,等. 互联网金融特征、投资者情绪与互联网理财产品回报[J]. 经济研究, 2019, 54(7): 78-93.Chen Rongda, Lin Bo, He Chengying, et al. Internet finance characteristics, internet finance investor sentiment and the return of internet financial products[J]. Economic Research Journal, 2019, 54(7): 78-93. [17] Antweiler W, Frank M Z. Is all that talk just noise? The information content of internet stock message boards[J]. The Journal of Finance, 2004, 59(3): 1259-1294. [18] Loughran T, McDonald B. When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks[J]. The Journal of Finance, 2011, 66(1): 35-65. [19] 欧阳资生,李虹宣,杨希特.网络舆情对中国上市金融机构系统性风险影响研究[J]. 系统科学与数学, 2021, 41(5): 1339-1354.Ouyang Zisheng, Li Hongxuan, Yang Xite. Research on the influence of network public opinion on the systematic risk of listed financial institutions in China[J]. Journal of Systems Science and Mathematical Sciences, 2021, 41(5): 1339-1354. [20] 汪昌云, 武佳薇. 媒体语气、投资者情绪与IPO定价[J]. 金融研究, 2015(9): 174-189.Wang Changyun, Wu Jiawei. Media tone, investor sentiment and IPO pricing[J]. Journal of Financial Research, 2015(9): 174-189. [21] You Jiaxing, Zhang Bohui, Zhang Le. Who captures the power of the pen?[J]. The Review of Financial Studies, 2017, 31(1): 43-96. [22] 张瑞, 刘立新. 中国上市银行系统性风险溢出效应研究——基于极端分位数回归的非对称CoVaR模型[J].数量经济研究, 2018, 9(2): 152- 166.Zhang Rui, Liu Lixin. Study on the systemic risk spillover effect of China’s listed banks[J]. The Journal of Quantitative Economics, 2018, 9(2): 152- 166. [23] Yu L, Hrdle W K, Borke L, et al. FRM: A financial risk meter based on penalizing tail events occurrence[R]. SFB 649 Discussion Paper, 2017.
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