Open Access
Issue |
SHS Web Conf.
Volume 151, 2022
3rd International Symposium on Economics, Management, and Sustainable Development (EMSD 2022)
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Article Number | 01001 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/shsconf/202215101001 | |
Published online | 16 December 2022 |
- Black, Fisher. Noise[J]. Journal of Finance, Vol 41, PP 529-543, 1986. [Google Scholar]
- Brown, G. W., M. T. Cliff. Investor Sentiment and Asset Valuation[J]. The Journal of Business, 2005, 78(2): 405. [CrossRef] [Google Scholar]
- Baker, M., J. Wurgler. Investor Sentiment and the Cross-section of Stock Returns[J]. The Journal of Finance, 2006, 61: 1645-1680. [CrossRef] [Google Scholar]
- Baker, M., J. Wurgler. Investor Sentiment in the Stock Market[J]. The Journal of Economic Perspectives, 2007, 21(2): 129-151. [CrossRef] [Google Scholar]
- Wang Meijin, sun Jianjun. Chinese stock market returns, return volatility and investor sentiment[J]. Economic Research, 2004, 10: 75-83. [Google Scholar]
- Huang Delong, Wen Fenghua, Yang Xiaoguang. Empirical Study on investor sentiment index and Chinese stock market[J]. Systems Science and Mathematics, 2009, (1): 1-13. [Google Scholar]
- Yi Zhigao, Mao Ning. Measurement of investor sentiment in China’s stock market: the construction of cicsi[J]. Financial Research, 2009, (11): 174-184. [Google Scholar]
- Jiang Yumei, Wang Mingzhao. Investor sentiment and Stock Returns: An Empirical Study on the overall effect and cross-sectional effect[J]. Nankai Management Review, 2010, (3): 56-62. [Google Scholar]
- Wen Fenghua, Xiao Jinli, Huang Chuangxia, et al. Research on the influence of investor sentiment characteristics on stock price behavior[J]. Journal of Management Science, 2014, (3): 61-69. [Google Scholar]
- Hu Changsheng, Tao Zhu. Individual investor sentiment, network we media effect and stock return[J]. Forecast, 2017, (3): 50-55. [Google Scholar]
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