对冲基金网络与股价暴跌风险

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE
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引用次数: 0

摘要

利用 2013 年至 2022 年中国上市公司的数据集,我们探讨了对冲基金网络是否有助于解释中国股灾的发生。首先,本研究基于共同持股构建了对冲基金网络。然后,从网络中心性的角度,探讨对冲基金网络对股灾风险的影响及其机制。我们的研究结果表明,网络中心度越高的公司股价暴跌风险越低。在交替测量、使用倾向得分匹配法和排除其他网络效应后,这些结果仍然有效。我们进一步证明,对冲基金网络中心性通过两个渠道降低股灾风险:信息不对称和治理监督。此外,对冲基金网络中心性对股灾风险的负面影响在非国有企业中更为明显。总之,我们的研究揭示了对冲基金信息网络在抑制股灾中的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hedge funds network and stock price crash risk

Utilizing a dataset from 2013 to 2022 on China’s listed companies, we explored whether a hedge fund network could help explain the occurrence of Chinese stock crash. First, this study constructs a hedge fund network based on common holdings. Then, from the perspective of network centrality, we explore the impact of hedge fund network on stock crash risk and its mechanisms. Our findings suggest that companies with greater network centrality experience lower stock crash risk. Such results remain valid after alternating measures, using the propensity score matching method, and excluding other network effects. We further document that the centrality of hedge fund network reduces crash risk through two channels: information asymmetry and governance monitoring. In addition, the negative impact of hedge fund network centrality on stock crash risk is more pronounced for non-SOEs firms. In summary, our research shed light on the important role of hedge fund information network in curbing stock crash.

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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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