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The impact of investor structure on stock price crash sensitivity:Evidence from China's stock market 被引量:1

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摘要 Stock price crash sensitivity refers to the conditional probability of a stock crash when the market collapses.It focuses on individual stocks'sensitivity to the market crash and can affect stock pricing significantly.Although the crash sensitivity of China's stock market is very high as a whole(Weigert,2016),different individual stocks show varying degrees of crash sensitivity.This paper,adopting the perspective of institutional investors,explores the reasons for the difference in crash sensitivity in China's stock market,and finds that:First,institutional investors'shareholdings is positively related to firms'stock price crash sensitivity.However,after dividing institutional investors into professional(represented by financial institutions)and non-professional institutional investors(represented by general legal persons),we find that only professional institutional investors'shareholdings is negatively related to firms'stock price crash sensitivity.Second,the impact of professional institutional investors on the crash sensitivity is influenced by stock liquidity and media sentiment:when the stock liquidity of listed companies is good or the media sentiment is strong,the negative impact of professional institutional investors on the crash sensitivity is accordingly high.This paper,by highlighting the investor structure,attempts a pioneering exploration of the influencing factors of the difference in stock price crash sensitivity in China.Our empirical results enrich research on stock price crash sensitivity and the heterogeneity of institutional investors.They can also serve to guide regulatory authorities'development of institutional investors and efforts to maintain market stability.
出处 《Journal of Management Science and Engineering》 2021年第3期312-323,共12页 管理科学学报(英文版)
基金 supported by the MOE(Ministry of Education in China)Youth Foundation Project of Humanities and Social Sciences(18YJC790123) the National Natural Science Foundation of China(71773100).
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