Open Access
Issue
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
Article Number 01031
Number of page(s) 7
Section Research on New Energy Technology and Energy Consumption Development
DOI https://doi.org/10.1051/e3sconf/202123501031
Published online 03 February 2021
  1. Yunhui Liu Lin. An empirical study of CAPM in the Chinese market [J]. Financial Research, 2001 (7): 106-115. [Google Scholar]
  2. Xie Baohua, Ma Zheng, Gao Rongxing. Empirical Test of the Effectiveness of China’s Stock Market [J]. Journal of Guangdong University of Commerce, 2001 (5): 22-25. [Google Scholar]
  3. Hu Changsheng, Liu Hong. An empirical study on the effectiveness of China’s stock market [J]. Statistics and Decision, 2004 (11): 45-46. [Google Scholar]
  4. Gu Rongbao, Liu Haifei, Li Xindan, Li Long. Herd behavior and volatility in the stock market: Correlation and its evolution ——Evidence from Shenzhen stock market -94. [Google Scholar]
  5. Li Linxiang. Effectiveness Test and Return Fluctuation Characteristics of China’s Stock Market——Data Analysis Based on Shanghai Stock Index [J]. Market Economy and Price, 2014 (11): 43-48. [Google Scholar]
  6. Luo, Y. Misvaluation comovement, market efficiency and the cross-section of stock returns: Evidence from China [J]. Economic Systems, 2015 (39): 390-412. [Google Scholar]
  7. Wang Weihan. An empirical study on the effectiveness of the CAPM model in the Chinese stock market [J]. Yinshan Journal (Natural Science Edition), 2017 (31): 101-103. [Google Scholar]
  8. Qu Hui. A New Test of the Effectiveness of Chinese Stock Market Based on Genetic Programming. Statistics and Decision, 2011 (23): 137-142. [Google Scholar]
  9. Wang Hongxia, Cao Bo.. Validation of Chinese stock market based on genetic programming [J]. Computer Science, 2016 (S1): 538-541. [Google Scholar]
  10. Wei Sun. China’s A-Share, B-Share, and H-Share Stock Markets and the World Financial Markets: A Cointegration and Causality Analysis [J]. Journal of Applied Business and Economics, 2014 (16: 70-80. [Google Scholar]
  11. Tan Xueyan. Analysis of the Effectiveness of China’s Stock Market Based on Institutional Changes [J]. Journal of Central University of Finance and Economics, 2010 (9): 44-47. [Google Scholar]
  12. Ran Maosheng, Zhang Zongyi, Chen Rong. Using the R / S method to study the effectiveness of China’s stock market [J]. Journal of Chongqing University: Natural Science Edition, 2001, 24 (6): 92-95. [Google Scholar]
  13. Li Jia, Wang Xiao. An empirical study on the effectiveness of China’s stock market——Test method based on variance ratio [J]. Economic Survey, 2010 (1): 137-140. [Google Scholar]
  14. Deng Zilai, Hu Jian. Market efficiency theory and empirical test of the effectiveness of China’s stock market [J]. Financial Forum, 2001 (10): 44-50. [Google Scholar]
  15. Ma Yanxiang. An Empirical Analysis of the Effectiveness of China’s Stock Market [J]. Xinjiang Finance and Economics, 2009 (5): 47-50. [Google Scholar]
  16. Zhu Konglai, Li Jingjing. The compound evaluation of the effectiveness of China’s stock market [J]. Mathematical Statistics and Management, 2013, 32 (1): 145-154. [Google Scholar]
  17. Zeng Jinsong. Technical Analysis and Effectiveness of China’s Stock Market [J]. Research on Financial Problems, 2005 (8): 27-30. [Google Scholar]
  18. Zhao Shengmin, Yan Honglei, Zhang Kai. Is the Fama-French five-factor model better than the threefactor model-empirical evidence from China’s Ashare market [J]. Nankai Economic Research, 2016 (2): 41-59. [Google Scholar]
  19. Shi Qiang, Yang Yiwen, Liu Yakai. The relationship between macroeconomics and stock market volatility based on GARCH-MIDAS model [J]. Computer Engineering and Applications, 2019, 55 (15): 257-262+270. [Google Scholar]
  20. Wu Kaijun. The disadvantages of excessively large proportion of state-owned shares and their countermeasures [J]. Journal of Huaiyin Polytechnic College, 1998 (Z1): 123-125. [Google Scholar]
  21. Liu Tingna. Research on the Improper Use of Overraised Funds of Listed Companies on GEM [D]. Jiangxi Normal University, 2019. [Google Scholar]
  22. Ye Bin. Analysis of the short mechanism of China’s stock market [J]. Shang, 2016 (20): 189. [Google Scholar]
  23. Wang Hui. Defects of China’s stock delisting system and improvement measures [J]. Knowledge Economy, 2015 (02): 96+98. [Google Scholar]

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