Cao Jie, He Guoqing, Jiao Yaping
School of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China.
School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha 410076, China.
Entropy (Basel). 2025 Mar 27;27(4):345. doi: 10.3390/e27040345.
Using a sample of S&P 500 stocks, this paper examines the investor sentiment spillover network between firms and assesses how the sentiment connectedness in the network impacts stock price crash risk. We demonstrate that firms with higher sentiment connectedness are more likely to crash as they spread more irrational sentiment signals and are more sensitive to investor behaviors. Notably, we find that the effect of investor sentiment on crash risk mainly stems from sentiment connectedness among firms rather than firms' individual sentiment, especially when market sentiment is surging or declining. These findings remain robust after controlling for other determinants of crash risk, including stock price synchronicity, accounting conservatism, and internal corporate governance strength. Our results underscore the importance of sentiment connectedness among firms and provide valuable insights for risk management among investors and regulatory authorities involved in monitoring risk.
本文以标准普尔500指数成份股为样本,研究了公司之间的投资者情绪溢出网络,并评估了网络中的情绪连通性如何影响股价暴跌风险。我们证明,情绪连通性较高的公司更有可能暴跌,因为它们传播了更多非理性的情绪信号,并且对投资者行为更敏感。值得注意的是,我们发现投资者情绪对暴跌风险的影响主要源于公司之间的情绪连通性,而非公司的个体情绪,尤其是在市场情绪高涨或低落时。在控制了暴跌风险的其他决定因素后,包括股价同步性、会计稳健性和公司内部治理强度,这些发现仍然稳健。我们的结果强调了公司之间情绪连通性的重要性,并为参与风险监测的投资者和监管机构的风险管理提供了有价值的见解。