[1] 许年行,于上尧,伊志宏. 机构投资者羊群行为与股价崩盘风险[J]. 管理世界,2013,(7):31-43. [2] Bikhchandani S., Hirshleifer D., Welch I.A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades[J]. Journal of Political Economy, 1992, 100(5):992-1026. [3] Hirshleifer D., Teoh S.H. Herd Behaviour and Cascading in Capital Markets: A Review and Synthesis[J]. European Financial Management, 2003, 9(1):25-66. [4] Zhou R.T. Y., Lai R. N. Herding and Information Based Trading[J]. Journal of Empirical Finance, 2009, 16(3):388-393. [5] 朱菲菲,李惠璇,徐建国,李宏泰. 短期羊群行为的影响因素与价格效应——基于高频数据的实证检验[J]. 金融研究,2019,(7):191-206. [6] Dasgupta A., Prat A., Verardo M.The Price Impact of Institutional Herding[J]. The Review of Financial Studies, 2011, 24(3):892-925. [7] Goldstein I., Jiang W., Karolyi G.A. To FinTech and Beyond[J]. The Review of Financial Studies, 2019, 32(5):1647-1661. [8] 李春涛,闫续文,宋敏,杨威. 金融科技与企业创新——新三板上市公司的证据[J]. 中国工业经济,2020,(1):81-98. [9] Sheng T.X. The Effect of Fintech on Banks' Credit Provision to SMEs: Evidence from China[J]. Finance Research Letters, 2021, 39(March):101558. [10] 何小钢,罗欣,郭晓斌. 金融科技、资源配置与银行业结构[J]. 当代财经,2023,(6):54-66. [11] Demertzis M., Merler S., Wolff G.B. Capital Markets Union and the Fintech Opportunity[J]. Journal of Financial Regulation, 2018, 4(1):157-165. [12] 薛莹,胡坚. 金融科技助推经济高质量发展:理论逻辑、实践基础与路径选择[J]. 改革,2020,(3):53-62. [13] 范小云,王业东,王道平,郭文斌,胡煊翊. 不同来源金融文本信息含量的异质性分析——基于混合式文本情绪测度方法[J]. 管理世界,2022,(10):78-101. [14] Li K., Liu X., Mai F., Zhang T.F. The Role of Corporate Culture in Bad Times: Evidence from the COVID-19 Pandemic[J]. Journal of Financial and Quantitative Analysis, 2021, 56(7):2545-2583. [15] Cohen L., Malloy C., Nguyen Q.Lazy Prices[J]. The Journal of Finance, 2020, 75(3):1371-1415. [16] 宋敏,周鹏,司海涛. 金融科技与企业全要素生产率——“赋能”和信贷配给的视角[J]. 中国工业经济,2021,(4):138-155. [17] Burgstahler D., Dichev I.Earnings Management to Avoid Earnings Decreases and Losses[J]. Journal of Accounting and Economics, 1997, 24(1):99-126. [18] Arya A., Mittendorf B.The Interaction among Disclosure, Competition between Firms, and Analyst Following[J]. Journal of Accounting and Economics, 2007, 43(2-3):321-339. [19] 叶莹莹,杨青,胡洋. 股权质押引发机构投资者羊群行为吗——基于信息质量的中介效应[J]. 会计研究,2022,(2):146-163. [20] 尹海员,朱旭. 机构投资者信息挖掘、羊群行为与股价崩盘风险[J]. 管理科学学报,2022,(2):69-88. [21] Lakonishok J., Shleifer A., Vishny R.W. The Impact of Institutional Trading on Stock Prices[J]. Journal of Financial Economics, 1992, 32(1):23-43. [22] 盛天翔,范从来. 金融科技、最优银行业市场结构与小微企业信贷供给[J]. 金融研究,2020,(6):114-132. [23] 杨松令,刘梦伟,张秋月. 中国金融科技发展对资本市场信息效率的影响研究[J]. 数量经济技术经济研究,2021,(8):125-144. [24] 郭峰,王靖一,王芳,孔涛,张勋,程志云. 测度中国数字普惠金融发展:指数编制与空间特征[J]. 经济学(季刊),2020,(4):1401-1418. [25] Pástor L′., Stambaugh R.F. Liquidity Risk and Expected Stock Returns[J]. Journal of Political Economy, 2003, 111(3):642-685. [26] Dechow P.M., Dichev I. D. The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors[J]. The Accounting Review, 2002, 77(s-1):35-59. [27] 王玉涛,王彦超. 业绩预告信息对分析师预测行为有影响吗[J]. 金融研究,2012,(6):193-206. [28] 江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济,2022,(5):100-120. [29] 王小华,周韩梅. 摆脱路径依赖:金融科技区域差异化发展的逻辑与检验[J]. 当代财经,2023,(2):15-27. |