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Financing Negative Shocks: Evidence from Hurricane Harvey 为负面冲击融资:飓风哈维的证据
Pub Date : 2024-02-12 DOI: 10.1017/s0022109024000103
Benjamin L. Collier, Lawrence S. Powell, Marc A. Ragin, Xuesong You
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引用次数: 0
Retail Trading and Return Predictability in China 中国的零售交易和回报可预测性
Pub Date : 2024-02-12 DOI: 10.1017/s0022109024000085
Charles M. Jones, Donghui Shi, Xiaoyan Zhang, Xinran Zhang
Charles M. Jones, cj88@gsb.columbia.edu, was with Columbia Business School, Donghui Shi, dhshi@fudan.edu.cn, is with Fudan University Fanhai International School of Finance, Xiaoyan Zhang (corresponding author), zhangxiaoyan@pbcsf.tsinghua.edu.cn, is with Tsinghua University PBC School of Finance, and Xinran Zhang, zhangxinran@cufe.edu.cn, is with the Central University of Finance and Economics School of Finance. Xiaoyan Zhang acknowledges the financial support from the National Natural Science Foundation of China [Grant No. 72350710220] and [Grant No.71790605]. Xinran Zhang acknowledges the financial support from the National Natural Science Foundation of China [Grant No. 72303268]. We thank an anonymous referee, Terrance Odean, Laruen Cohen, Ron Kaniel, Hao Zhou, Utpal Bhattacharya, Xintong Zhan, Darwin Choi, and seminar participants at Tsinghua PBC School of Finance, Renmin University, Shanghai Jiaotong University, Fudan University, Shanghai University of Finance and Economics, and conference audiences at the CIFFP, CFRC, CICF, and ABFER Annual Conference for their helpful comments and suggestions. All remaining errors are our own. Using comprehensive account-level data, we separate Chinese retail investors into five groups and document strong heterogeneity in trading dynamics and performances. Retail investors with smaller account sizes cannot predict future returns correctly, display daily momentum patterns, fail to process public news, and show overconfidence and gambling preferences; while retail investors with larger account balances predict future returns correctly, display contrarian patterns, and incorporate public news in trading. With Barber et al. (2009) performance measures, smaller retail investors suffer from poor stock selection abilities and trading costs, while large retail investors’ stock selection abilities are offset by trading costs.
查尔斯-M-琼斯(Charles M. Jones),cj88@gsb.columbia.edu,哥伦比亚大学商学院;史东辉(Donghui Shi),dhshi@fudan.edu.cn,复旦大学泛海国际金融学院;张晓燕(通讯作者),zhangxiaoyan@pbcsf.tsinghua.edu.cn,清华大学PBC金融学院;张欣然(Xinran Zhang),zhangxinran@cufe.edu.cn,中央财经大学金融学院。张晓燕感谢国家自然科学基金[批准号:72350710220]和[批准号:71790605]的资助。张欣然感谢国家自然科学基金[批准号:72303268]的资助。感谢匿名评审人 Terrance Odean、Laruen Cohen、Ron Kaniel、Hao Zhou、Utpal Bhattacharya、Xintong Zhan、Darwin Choi 以及清华大学 PBC 金融学院、人民大学、上海交通大学、复旦大学、上海财经大学的研讨会与会者,以及 CIFFP、CFRC、CICF 和 ABFER 年会的与会者提出的有益意见和建议。其余错误均为我们自己所为。利用全面的账户数据,我们将中国散户投资者分为五组,并记录了交易动态和表现的强烈异质性。账户规模较小的散户投资者无法正确预测未来收益,表现出每日动量模式,无法处理公共新闻,并表现出过度自信和赌博偏好;而账户余额较大的散户投资者能够正确预测未来收益,表现出逆向模式,并将公共新闻纳入交易。根据 Barber 等人(2009 年)的绩效衡量标准,小散户投资者的选股能力差,交易成本高,而大散户投资者的选股能力则被交易成本所抵消。
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引用次数: 2
Estimating Stock Market Betas via Machine Learning 通过机器学习估算股市贝塔值
Pub Date : 2024-02-08 DOI: 10.1017/s0022109024000036
Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, Marcel Prokopczuk
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引用次数: 1
Estimating Stock Market Betas via Machine Learning 通过机器学习估算股市贝塔值
Pub Date : 2024-02-08 DOI: 10.1017/s0022109024000036
Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, Marcel Prokopczuk
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引用次数: 1
JFQ volume 59 issue 1 Cover and Front matter JFQ 第 59 卷第 1 期封面和封底
Pub Date : 2024-02-01 DOI: 10.1017/s002210902300145x
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引用次数: 0
JFQ volume 59 issue 1 Cover and Back matter JFQ 第 59 卷第 1 期封面和封底
Pub Date : 2024-02-01 DOI: 10.1017/s0022109023001461
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引用次数: 0
JFQ volume 59 issue 1 Cover and Back matter JFQ 第 59 卷第 1 期封面和封底
Pub Date : 2024-02-01 DOI: 10.1017/s0022109023001461
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引用次数: 0
JFQ volume 59 issue 1 Cover and Front matter JFQ 第 59 卷第 1 期封面和封底
Pub Date : 2024-02-01 DOI: 10.1017/s002210902300145x
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引用次数: 0
Construction, Real Uncertainty, and Stock-Level Investment Anomalies 建筑、实际不确定性和股票层面的投资异常现象
Pub Date : 2024-01-24 DOI: 10.1017/s0022109024000024
Kevin Aretz, Anastasios Kagkadis
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引用次数: 0
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Journal of Financial and Quantitative Analysis
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