[1] Chen N, Liu X, Yao D D. An optimization view of financial systemic risk modeling:Network effect and market liquidity effect[J]. Operations research, 2016, 64(5):1089-1108.
[2] 马勇,李振.资金流动性与银行风险承担——来自中国银行业的经验证据[J].财贸经济, 2019, 40(7):67-81.Ma Y, Li Z. Funding liquidity and bank risk-taking:Empirical evidence from China[J]. Finance & Trade Economics, 2019, 40(7):67-81.
[3] 隋新,何建敏,李亮.银企多金融关联网络模型构建与仿真分析[J].系统科学与数学, 2020, 40(12):2370-2380. Sui X, He J M, Li L. Construction of firm-bank network model with multi-financial links and simulation analysis[J]. Journal of Systems Science and Mathematical Sciences, 2020, 40(12):2370-2380.
[4] Zhang J, He L, An Y. Measuring banks'liquidity risk:An option-pricing approach[J]. Journal of Banking & Finance, 2020, 111:105703.
[5] 张冰洁,汪寿阳,魏云捷,等.我国影子银行的风险传导渠道及监管对策研究[J].系统工程理论与实践, 2021, 41(1):15-23.Zhang B J, Wang S Y, Wei Y J, et al. Research on risk transmission channels and supervision policy of shadow banks in China[J]. Systems Engineering — Theory & Practice, 2021, 41(1):15-23.
[6] Davidovic S, Kothiyal A, Galesic M, et al. Liquidity hoarding in financial networks:The role of structural uncertainty[J]. Complexity, 2019:8436505.
[7] 隋聪,王宪峰,王宗尧.银行间债务网络流动性差异对风险传染的影响[J].管理科学学报, 2020, 23(3):65-72.Sui C, Wang X F, Wang Z Y. The impacts of interbank debt network liquidity differences on risk contagion[J]. Journal of Management Sciences in China, 2020, 23(3):65-72.
[8] Davydov D, Vähämaa S, Yasar S. Bank liquidity creation and systemic risk[J]. Journal of Banking & Finance, 2021, 123:106031.
[9] Jord\.ȧȮ, Richter B, Schularick M, et al. Bank capital redux:Solvency, liquidity, and crisis[J]. The Review of Economic Studies, 2021, 88(1):260-286.
[10] 苑莹,王海英,庄新田.基于非线性相依的市场间金融传染度量——测度2015年中国股灾对重要经济体的传染效应[J].系统工程理论与实践, 2020, 40(3):545-558.Yuan Y, Wang H Y, Zhuang X T. Financial contagion measurement between nonlinear inter-dependent markets:Detecting the contagion effects of Chinese stock market crash in 2015 on the world's important economies[J]. Systems Engineering — Theory & Practice, 2020, 40(3):545-558.
[11] Ma J L, Zhu S S, Wu Y. Joint effects of the liability network and portfolio overlapping on systemic financial risk:Contagion and rescue[J]. Quantitative Finance, 2020(8):1-18.
[12] 王霞,付中昊,洪永淼,等.基于非参数回归的金融传染检验[J].系统工程理论与实践, 2020, 40(6):1398-1418.Wang X, Fu Z H, Hong Y M, et al. Nonparametric regression based testing for financial contagion[J]. Systems Engineering — Theory & Practice, 2020, 40(6):1398-1418.
[13] 沈艳,王靖一.媒体报道与未成熟金融市场信息透明度——中国网络借贷市场视角[J].管理世界, 2021, 37(2):35-50.Shen Y, Wang J Y. Media report and information transparency in immature financial markets:The perspective of Peer-to-Peer lending in China[J]. Management World, 2021, 37(2):35-50.
[14] 李学彦,李泽文.流动性失衡问题研究新进展[J].经济学动态, 2018(6):117-128.Li X Y, Li Z W. New progress in the study of liquidity imbalance[J]. Economic Perspectives, 2018(6):117-128.
[15] 马寅杰,李牧遥,蒋志强,等.基于SRISK指标的中国银行业系统性风险度量研究[J].计量经济学报, 2021, 1(1):114-140.Ma Y J, Li M Y, Jiang Z Q, et al. A systematic risk measure of the Chinese banking industry based on SRISK[J]. China Journal of Econometrics, 2021, 1(1):114-140.
[16] 韦立坚,张维,熊熊.股市流动性踩踏危机的形成机理与应对机制[J].管理科学学报, 2017, 20(3):1-23.Wei L J, Zhang W, Xiong X. The mechanism and solution for the liquidity stampede crisis in stock markets[J]. Journal of Management Sciences in China, 2017, 20(3):1-23.
[17] 姜闪闪,范宏.双渠道风险传染下银行系统稳定性分析[J].中国管理科学, 2020, 28(11):51-60.Jiang S S, Fan H. Stability analysis of banking system under dual channel risk contagion[J]. Chinese Journal of Management Science, 2020, 28(11):51-60.
[18] Wang L, Li S, Wang W, et al. A bank liquidity multilayer network based on media emotion[J]. European Physical Journal B, 2021, 94(2):1-23.
[19] Forss T, Sarlin P. News-sentiment networks as a company risk indicator[J]. Journal of Network Theory in Finance, 2018, 4(1):65-86.
[20] 张宗新,吴钊颖.媒体情绪传染与分析师乐观偏差——基于机器学习文本分析方法的经验证据[J].管理世界, 2021, 37(1):170-185.Zhang Z X, Wu Z Y. Media's emotional contagion and analyst optimistic bias:Evidence based on the technique of machine learning[J]. Management World, 2021, 37(1):170-185.
[21] Duz T S, Tas O. Social media sentiment in international stock returns and trading activity[J]. Journal of Behavioral Finance, 2021, 22(2):221-234.
[22] 周爱民,葛琛,遥远.惊弓之鸟:流动性恐慌与股票价格[J].南开经济研究, 2019(4):105-122.Zhou A M, Ge C, Yao Y. The frightened birds:Liquidity panic and stock price[J]. Nankai Economic Studies, 2019(4):105-122.
[23] 陈庭强,马百超,李心丹.投资者情绪、偿债能力与CDS交易对手流动性风险传染[J].系统工程理论与实践, 2020, 40(3):559-578.Chen T Q, Ma B C, Li X D. Investor sentiment, debt solvency and the contagion of CDS counterparty liquidity crisis[J]. Systems Engineering — Theory & Practice, 2020, 40(3):559-578.
[24] Saleemi J. In COVID-19 outbreak, correlating the cost-based market liquidity risk to microblogging sentiment indicators[J]. National Accounting Review, 2020, 2(3):249-262.
[25] 沈沛龙,李志楠.投资者恐慌情绪对银行间风险传染影响研究[J].财贸研究, 2020, 31(3):59-71+110.Shen P L, Li Z N. Influence of investor panic on inter-bank risk contagion[J]. Finance and Trade Research, 2020, 31(3):59-71+110.
[26] Solomon D H, Soltes E, Sosyura D. Winners in the spotlight:Media coverage of fund holdings as a driver of flows[J]. Journal of Financial Economics, 2014, 113(1):53-72.
[27] Rönnqvist S, Sarlin P. Bank networks from text:Interrelations, centrality and determinants[J]. Quantitative Finance, 2015, 15(10):1619-1635.
[28] Bargigli L, Iasio D G, Infante L, et al. The multiplex structure of interbank networks[J]. Quantitative Finance, 2015, 15(4):673-691.
[29] Aldasoro I, Alves I. Multiplex interbank networks and systemic importance:An application to European data[J]. Journal of Financial Stability, 2018, 35:17-37.
[30] 宋砚秋,张玉洁,王瑶琪,等.基于多层网络的中国企业风险投资(CVC)影响力动态评价研究[J].系统科学与数学, 2020, 40(6):969-983.Song Y Q, Zhang Y J, Wang Y Q, et al. Dynamic influence evaluation based on multi-layer network of Chinese corporate venture capital (CVC)[J]. Journal of Systems Science and Mathematical Sciences, 2020, 40(6):969-983.
[31] 韩菁,唐箫,余乐安.基于多层网络链路预测的潜在合作关系识别研究[J].系统工程理论与实践, 2021, 41(4):1049-1060.Han J, Tang X, Yu L A. Research on identification of potential partnership based on link prediction with multilayer networks[J]. Systems Engineering — Theory & Practice, 2021, 41(4):1049-1060.
[32] 何奕,童牧,吴珊,等.复杂金融网络中的系统性风险与流动性救助:基于不同网络拓扑结构的研究[J].系统工程理论与实践, 2019, 39(6):1385-1393.He Y, Tong M, Wu S, et al. Systemic risk and liquidity rescue in complex financial networks:A study based on different network topologies[J]. Systems Engineering — Theory & Practice, 2019, 39(6):1385-1393.
[33] Schlepper K, Hofer H, Riordan R, et al. The market microstructure of central bank bond purchases[J]. Journal of Financial & Quantitative Analysis, 2020, 55(1):193-221.
[34] Smaoui H, Mimouni K, Miniaoui H, et al. Funding liquidity risk and banks'risk-taking:Evidence from Islamic and conventional banks[J]. Pacific-Basin Finance Journal, 2020, 64:101436.
[35] 李晓伟,宗计川.金融稳定视角下的流动性风险传染研究新进展[J].经济学动态, 2018(4):138-147.Li X W, Zong J C. New progress in the study of liquidity risk transmission from the perspective of financial stability[J]. Economic Perspectives, 2018(4):138-147.
[36] 何贤杰,王孝钰,孙淑伟,等.网络新媒体信息披露的经济后果研究——基于股价同步性的视角[J].管理科学学报, 2018, 21(6):43-59.He X J, Wang X Y, Sun S W, et al. Economic consequences of new media information disclosure:From the perspective of stock price synchronicity[J]. Journal of Management Sciences in China, 2018, 21(6):43-59.
[37] Wang L, Li S, Chen T. Investor behavior, information disclosure strategy and counterparty credit risk contagion[J]. Chaos Solitons & Fractals, 2019, 119:37-49.
[38] Ferrara G, Langfield S, Liu Z, et al. Systemic illiquidity in the interbank network[J]. Quantitative Finance, 2019, 19(11):1779-1795.
[39] Fang L, Peress J. Media coverage and the cross-section of stock returns[J]. The Journal of Finance, 2009, 64(5):2023-2052.
[40] 王晓丹,尚维,汪寿阳.互联网新闻媒体报道对我国股市的影响分析[J].系统工程理论与实践, 2019, 39(12):3038-3047.Wang X D, Shang W, Wang S Y. The effects of online news on the Chinese stock market[J]. Systems Engineering — Theory & Practice, 2019, 39(12):3038-3047.
[41] Yang X, Zhu Y, Cheng T Y. How the individual investors took on big data:The effect of panic from the internet stock message boards on stock price crash[J]. Pacific-Basin Finance Journal, 2020, 59:101245.
[42] Castiglionesi F, Navarro N.(In) Efficient interbank networks[J]. Journal of Money, Credit and Banking, 2020, 52(2-3):365-407.
[43] Liu A, Paddrik M, Yang S Y, et al. Interbank contagion:An agent-based model approach to endogenously formed networks[J]. Journal of Banking & Finance, 2020, 112:105191.
[44] 李守伟,王磊,刘晓星,等.跨银行与企业部门的系统性风险研究[J].系统工程理论与实践, 2020, 40(10):2492-2504.Li S W, Wang L, Liu X X, et al. Systemic risk across the banking sector and the firm sector[J]. Systems Engineering — Theory & Practice, 2020, 40(10):2492-2504.
[45] Wan X, Yang J, Marinov S, et al. Sentiment correlation in financial news networks and associated market movements[J]. Scientific reports, 2021, 11(1):1-12.
[46] Correa R, Goldberg L S. Bank complexity, governance, and risk[J]. Journal of Banking & Finance, 2021(3):106013.
[47] 朱恩伟,吴璟,刘洪玉.基于新闻文本共现性的银企关系分析——以房地产上市公司为例[J].金融研究, 2019(2):117-135.Zhu E W, Wu J, Liu H Y. Bank-firm relationship analysis based on co-occurrence in news texts:Evidence from listed real estate companies in China[J]. Journal of Financial Research, 2019(2):117-135.
[48] 部慧,解峥,李佳鸿,等.基于股评的投资者情绪对股票市场的影响[J].管理科学学报, 2018, 21(4):86-101.Bu H, Xie Z, Li J H, et al. Investor sentiment extracted from internet stock message boards and its effect on Chinese stock market[J]. Journal of Management Sciences in China, 2018, 21(4):86-101.
[49] Gazzani A. News and noise bubbles in the housing market[J]. Review of Economic Dynamics, 2020, 36:46-72.
[50] Peress J, Schmidt D. Glued to the TV:Distracted noise traders and stock market liquidity[J]. The Journal of Finance, 2020, 75(2):1083-1133.
[51] 童牧,何奕.复杂金融网络中的系统性风险与流动性救助——基于中国大额支付系统的研究[J].金融研究, 2012(9):20-33.Tong M, He Y. Systemic risk and liquidity rescue in complex financial network:Based on the research of China's large payment system[J]. Journal of Financial Research, 2012(9):20-33.
[52] Carpinelli L, Crosignani M. The design and transmission of central bank liquidity provisions[J]. Journal of Financial Economics, 2021, 141(1):27-47.
[53] Rogers L C G, Veraart L A M. Failure and rescue in an interbank network[J]. Management Science, 2013, 59(4):882-898.
[54] Baker C, Cummings C, Jagtiani J. The impacts of financial regulations:Solvency and liquidity in the post-crisis period[J]. Journal of Financial Regulation and Compliance, 2017, 25(3):253-270.
[55] 田婧倩,刘晓星.媒体舆情、政府监管与市场行为——基于信息博弈的结构性视角[J].计量经济学报, 2021, 1(1):141-160.Tian J Q, Liu X X. Media sensation, government supervision and market behavior:A structural perspective based on information game[J]. China Journal of Econometrics, 2021, 1(1):141-160.
[56] Koenig P J, Pothier D. Safe but fragile:Information acquisition, liquidity support and redemption runs[J]. Journal of Financial Intermediation, 2020(3):100898.
[57] Chen T, He J, Li X. An evolving network model of credit risk contagion in the financial market[J]. Technological and Economic Development of Economy, 2017, 23(1):22-37.