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Institutional Investor Information Sharing, Stock Market Extreme Risk, and Financial Systemic Risk

机译:机构投资者信息共享,股票市场极端风险和金融全身风险

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To analyze whether information sharing in the institutional investors plays the role of a market stabilizer or risk booster, this paper constructs the institutional investor information network employing the common holding stocks of the mutual funds as links. The information linkages between two funds with large positions in the same stock are hypothesized to be connected to each other. Then, we use the information sharing efficiency in the fund networks to study the effects of information transmission on stock market extreme risk and financial systemic risk. Especially, the speed of information diffusion in the network is characterized by the topology structures based on social network theory. Empirical research studies find that the Chinese fund information network exhibits small-world characteristics, which reflects rapid speed of information diffusion. Seen from the idiosyncratic risk of volatility, information sharing of institutional investors can improve the behavior consistency of fund managers, thus increasing the stock volatility via herd effects. Besides, it can be concluded that institutional investor information sharing can reduce the extreme risk by promoting the comprehensiveness of information flow and the market pricing efficiency of stocks, thereby reducing the degree of financial systemic risk. The obtained conclusions provide suggestions for decision-making of institutional investors. It can help the regulators to pay attention to the herd effects so as to control systemic risk.
机译:为了分析机构投资者中的信息共享是否发挥了市场稳定或风险助推器的作用,构建了采用共同持有股票作为链接的共同持有股票的机构投资者信息网络。假设与相同股票的大位置的两个基金之间的信息联动被假设以彼此连接。然后,我们在基金网络中使用信息共享效率来研究信息传输对股票市场极端风险和金融全身风险的影响。特别地,网络中的信息扩散速度的特征在于基于社交网络理论的拓扑结构。实证研究研究发现,中国基金信息网络表现出小世界特征,这反映了信息扩散的快速速度。从特质的波动风险,机构投资者的信息共享可以改善基金管理人员的行为一致性,从而通过畜群效应增加了股票波动。此外,可以得出结论,机构投资者信息共享可以通过促进信息流的全面性和股票的市场定价效率来降低极端风险,从而降低金融全身风险程度。获得的结论提供了制度投资者决策的建议。它可以帮助监管机构注意畜群效果,以控制系统性风险。

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