The impact of investor sentiment on stock liquidity of listed companies in China
-
DOIhttp://dx.doi.org/10.21511/imfi.21(2).2024.01
-
Article InfoVolume 21 2024, Issue #2, pp. 1-14
- Cited by
- 582 Views
-
187 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Researchers have scrutinized the link between investor sentiment and stock market liquidity globally, yet few have delved into this dynamic in emerging markets, especially China. Utilizing a sample of 1,839 publicly listed companies in China from 2010 to 2019, this study applies firm- and year-fixed-effects models to explore the nexus between investor sentiment and stock illiquidity, employing the Amihud measure for stock illiquidity assessment. The outcomes of these fixed-effect regressions illustrate a significantly positive relationship between investor sentiment and stock liquidity in the Chinese market. The positive link is more evident in scenarios characterized by high firm leverage, rapid revenue growth, larger corporations, greater institutional ownership, higher stock volatility, and lower book-to-market ratios. Intriguingly, this analysis incorporates the quadratic term of investor sentiment to examine the potential for a nonlinear dynamic between stock illiquidity and investor sentiment. The findings elucidate that the effect of investor sentiment on stock liquidity diminishes at elevated levels of sentiment, revealing a nonlinear inverse U-shaped relationship. The positive correlation between investor sentiment and stock liquidity persists across the three divisions of the Chinese Shenzhen Stock Exchange and remains robust using alternative liquidity measures, such as Roll’s impact and zeros impact. Addressing causality concerns, current investor sentiment appears to influence subsequent liquidity levels. These results provide valuable perspectives for policymakers, business executives, and investors in the stock market.
Acknowledgment
This research was funded by the Department of Education of Zhejiang Province General Program [Y202353438], the Wenzhou Association for Science and Technology—Service and Technology Innovation Program [jczc0254], the Wenzhou-Kean University Student Partnering with Faculty Research Program [WKUSPF2023004], and the Wenzhou-Kean University International Collaborative Research Program [ICRP2023002].
- Keywords
-
JEL Classification (Paper profile tab)G11, G12, G32, G41
-
References38
-
Tables9
-
Figures0
-
- Table 1. Descriptive statistics
- Table 2. Pairwise correlations
- Table 3. Baseline regressions
- Table 4. Nonlinear quadratic regressions
- Table 5. Moderating effects of control variables
- Table 6. Different stock submarkets
- Table 7. Alternative illiquidity measures
- Table 8. Changes in illiquidity and sentiment
- Table 9. Lead illiquidity measure
-
- Acharya, V. V., & Viswanathan, S. (2011). Leverage, moral hazard, and liquidity. Journal of Finance, 66(1), 99-138.
- Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5(1), 31-56.
- Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17(2), 223-249.
- Asem, E., Chung, J., Cui, X., & Tian, G. Y. (2016). Liquidity, investor sentiment and price discount of SEOs in Australia. International Journal of Managerial Finance, 12(1), 25-51.
- Baker, M., & Stein, J. C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271-299.
- Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. Journal of Finance, 61(4), 1645-1680.
- Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307-343.
- Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, 1, 1053-1128.
- Black, F. (1986). Noise. Journal of Finance, 41(3), 528-543.
- Brunnermeier, M. K., & Pedersen, L. H. (2009). Market liquidity and funding liquidity. Review of Financial Studies, 22(6), 2201-2238.
- Cai, X., & Zhang, J. (2023). The impact of COVID-19 on the liquidity of Chinese corporate bonds. Eurasian Studies in Business and Economics, 26, 285-300.
- Canbaş, S., & Kandır, S. Y. (2009). Investor sentiment and stock returns: Evidence from Turkey. Emerging Markets Finance and Trade, 45(4), 36-52.
- Cespa, G., & Foucault, T. (2014). Illiquidity contagion and liquidity crashes. Review of Financial Studies, 27(6), 1615-1660.
- Chiu, J., Chung, H., Ho, K. Y., & Wu, C. C. (2018). Investor sentiment and evaporating liquidity during the financial crisis. International Review of Economics & Finance, 55, 21-36.
- Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS investor sentiment and asset prices. Review of Financial Studies, 28(1), 1-32.
- De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703-738.
- Debata, B., Dash, S. R., & Mahakud, J. (2018). Investor sentiment and emerging stock market liquidity. Finance Research Letters, 26, 15-31.
- Dunham, L. M., & Garcia, J. (2021). Measuring the effect of investor sentiment on liquidity. Managerial Finance, 47(1), 59-85.
- Fernández-Amador, O., Gächter, M., Larch, M., & Peter, G. (2013). Does monetary policy determine stock market liquidity? New evidence from the euro zone. Journal of Empirical Finance, 21, 54-68.
- Firth, M., Wang, K., & Wong, S. M. (2015). Corporate transparency and the impact of investor sentiment on stock prices. Management Science, 61(7), 1630-1647.
- Goyenko, R. Y., Holden, C. W., & Trzcinka, C. A. (2009). Do liquidity measures measure liquidity? Journal of Financial Economics, 92(2), 153-181.
- Johnman, M., Vanstone, B. J., & Gepp, A. (2018). Predicting FTSE 100 returns and volatility using sentiment analysis. Accounting & Finance, 58, 253-274.
- Joseph, K., Wintoki, M. B., & Zhang, Z. (2011). Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search. International Journal of Forecasting, 27(4), 1116-1127.
- Karabulut, Y. (2013). Can facebook predict stock market activity? SSRN working paper.
- Kim, J. S., Ryu, D., & Seo, S. W. (2014). Investor sentiment and return predictability of disagreement. Journal of Banking & Finance, 42, 166-178.
- Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica, 53(6), 1315-1335.
- Liang, Y., Xue, C., & Zhang, J. (2023). The impact of ESG ratings on stock liquidity risk: Evidence from the Chinese market. Review of Integrative Business and Economics Research, 12(4), 1-16.
- Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51-67.
- Odean, T. (1998). Volume, volatility, price, and profit when all traders are above average. Journal of Finance, 53(6), 1887-1934.
- Rhodes-Kropf, M., Robinson, D. T., & Viswanathan, S. (2005). Valuation waves and merger activity: The empirical evidence. Journal of Financial Economics, 77(3), 561-603.
- Roll, R. (1984). A simple implicit measure of the effective bid-ask spread in an efficient market. Journal of Finance, 39(4), 1127-1139.
- Suresha, B., Srinidhi, V. R., Verma, D., Manu, K. S., & Krishna, T. A. (2022). The impact of ESG inclusion on price, liquidity and financial performance of Indian stocks: Evidence from stocks listed in BSE and NSE ESG indices. Investment Management and Financial Innovations, 19(4), 40-50.
- Valenzuela, M., Zer, I., Fryzlewicz, P., & Rheinländer, T. (2015). Relative liquidity and future volatility. Journal of Financial Markets, 24, 25-48.
- Wang, L., Weng, Z., Xue, C., & Zhang, J. (2024). ESG ratings and stock performance in the internet industry. Investment Management and Financial Innovations, 21(1), 38-50.
- Wang, S., Yi, X., & Song, M. (2023). The interrelationship of air quality, investor sentiment, and stock market liquidity: A review of China. Environment, Development and Sustainability, 25(10), 10955-10973.
- Yang, X., Zhu, J., Xie, H., & Zhang, J. (2023). Liquidity spillover from carbon emission trading markets to stock markets in China. Investment Management and Financial Innovations, 20(4), 227-241.
- Zhang, L., Chen, W., & Hu, N. (2023). Economic policy uncertainty and stock liquidity: Evidence from China. International Journal of Emerging Markets, 18(1), 22-44.
- Zhao, W., & Zhang, J. (2024). Investor attention and stock liquidity in the Chinese market. International Advances in Economic Research, 30(1), 65-82.