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Home > Philosophy and Social Science > Vol. 3 No. 6 (PSS 2026) >
Asymmetric Transmission Channels of Investor Sentiment on Stock Return Volatility
DOI: https://doi.org/10.62381/P263612
Author(s)
Zhenyu Chu
Affiliation(s)
Liaoning University of International Business and Economics, Dalian, China
Abstract
Although it is known that the investor sentiment asymmetrically affects the stock volatility, how the differential mechanisms are unclarified. We use the Ashare data in China (2015--2025) to construct a composite sentiment index. We use the bootstrap mediation framework in the setting of multivariate regression. The results are as follows: (1) Pessimism's marginal effect on the volatility is about 1.4time that of optimism; (2) In the optimistic period, the liquidity channel is the dominate (the indirect effect is 38.6%); in the pessimistic period, the leverage channel is the dominate (the indirect effect is 52.7%); (3) The asymmetry is broaden to 2.54time in the bear market. These results can clarifying the mediation paths, and it also can give the differentiated risk monitoring.
Keywords
Investor Sentiment; Stock Return Volatility; Asymmetry; Transmission Channels; Mediation Effect
References
[1] Zhang, P., & Mei, Y. (2026). Investor sentiment and capital market resilience: Evidence from market trading value. Productivity Research, (5), 89-94. [2] Zhao, D. P., Li, J. Y., & Luo, Q. J. (2026). Investor sentiment measurement from the perspective of online opinion leaders and its impact on stock idiosyncratic risk. Chinese Journal of Econometrics, 6(3), 794-814. [3] Chen, Z. X., Li, J. H., & Zhang, W. (2026). Capital market opening, irrational investor behaviour, and capital market efficiency. Journal of Management Sciences in China, 29(2), 1-20. [4] Liu, Z., Du, Z. Y., & Ma, R. Q. (2026). Investor sentiment and stock liquidity from the social media perspective. Shanghai Business, (2), 98-100. [5] Wu, Y. R., Qi, L. L., Wu, S., et al. (2025). Retail investor online interaction, sentiment contagion, and stock price crash risk: A social network analysis approach. Journal of Central University of Finance and Economics, (8), 41-57.
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