IDEAS home Printed from https://ideas.repec.org/r/pra/mprapa/35219.html
   My bibliography  Save this item

Is the Chinese Stock Market Really Efficient

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Hussain, Saiful Izzuan & Li, Steven, 2015. "Modeling the distribution of extreme returns in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 263-276.
  2. Beltratti, Andrea & Bortolotti, Bernardo & Caccavaio, Marianna, 2016. "Stock market efficiency in China: Evidence from the split-share reform," The Quarterly Review of Economics and Finance, Elsevier, vol. 60(C), pages 125-137.
  3. Tiwari, Aviral Kumar & Gupta, Rangan, 2019. "Chaos in G7 stock markets using over one century of data: A note," Research in International Business and Finance, Elsevier, vol. 47(C), pages 304-310.
  4. Ghada Abbas, 2014. "Testing Random Walk Behavior in the Damascus Securities Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 317-325, October.
  5. Tingting Zhang & Shunbo Yao & Jinna Yu & Assem Abu Hatab & Zhen Liu, 2020. "Effects of China’s Collective Forestland Tenure Reform Policies on Forest Product Firm Values," Land, MDPI, vol. 9(4), pages 1-20, April.
  6. Liew, Venus Khim-Sen & Puah, Chin-Hong, 2020. "Chinese stock market sectoral indices performance in the time of novel coronavirus pandemic," MPRA Paper 100414, University Library of Munich, Germany, revised 28 Apr 2020.
  7. Shen, Hongtao & Yang, Qing & Luo, Le & Huang, Nan, 2023. "Market reactions to a cross-border carbon policy: Evidence from listed Chinese companies," The British Accounting Review, Elsevier, vol. 55(1).
  8. Wang, Li-Hsun & Lin, Chu-Hsiung & Kang, Jui-Heng & Fung, Hung-Gay, 2016. "Idiosyncratic volatility and excess Return: Evidence from the Greater China region," Finance Research Letters, Elsevier, vol. 19(C), pages 126-129.
  9. Kuang-Liang Chang & Nan-Kuang Chen & Charles Ka Yui Leung, 2013. "In the Shadow of the U nited S tates: The International Transmission Effect of Asset Returns," Pacific Economic Review, Wiley Blackwell, vol. 18(1), pages 1-40, February.
  10. Chong, Terence Tai Leung & Tang, Alan Tsz Chung & Chan, Kwun Ho, 2016. "An Empirical Comparison of Fast and Slow Stochastics," MPRA Paper 80559, University Library of Munich, Germany.
  11. Kristoufek, Ladislav & Vosvrda, Miloslav, 2013. "Measuring capital market efficiency: Global and local correlations structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
  12. Kim man Lui & Terence T. L. Chong, 2013. "Do Technical Analysts Outperform Novice Traders: Experimental Evidence," Economics Bulletin, AccessEcon, vol. 33(4), pages 3080-3087.
  13. Qiubin Huang & Jakob De Haan & Bert Scholtens, 2019. "Analysing Systemic Risk in the Chinese Banking System," Pacific Economic Review, Wiley Blackwell, vol. 24(2), pages 348-372, May.
  14. Nobuyoshi Yamori & Jianjun Sun, 2019. "How Did the Introduction of Deposit Insurance Affect Chinese Banks? An Investigation of Its Wealth Effects," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(9), pages 2022-2038, July.
  15. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
  16. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018. "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 205-230.
  17. Yi, Li & Liu, Zilan & He, Lei & Qin, Zilong & Gan, Shunli, 2018. "Do Chinese mutual funds time the market?," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 1-19.
  18. Terence Tai-Leung Chong, Bingqing Cao, Wing Keung Wong, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(2), pages 237-247, October.
  19. Zhai, Huayun & Lu, Meiting & Shan, Yaowen & Liu, Qingzhuo & Zhao, Ying, 2021. "Key audit matters and stock price synchronicity: Evidence from a quasi-natural experiment in China," International Review of Financial Analysis, Elsevier, vol. 75(C).
  20. Hu, Fang & Tan, Weiqiang & Xin, Qingquan & Yang, Sixian, 2013. "How do market forces affect executive compensation in Chinese state-owned enterprises?," China Economic Review, Elsevier, vol. 25(C), pages 78-87.
  21. Yanying Zhang & Yiuman Tse & Gaiyan Zhang, 2022. "Return predictability between industries and the stock market in China," Pacific Economic Review, Wiley Blackwell, vol. 27(2), pages 194-220, May.
  22. repec:wyi:journl:002214 is not listed on IDEAS
  23. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2019. "An empirical analysis of the Adaptive Market Hypothesis with calendar effects:Evidence from China," Finance Research Letters, Elsevier, vol. 31(C).
  24. Chang, Kuang-Liang & Chen, Nan-Kuang & Leung, Charles Ka Yui, 2012. "The dynamics of housing returns in Singapore: How important are the international transmission mechanisms?," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 516-530.
  25. de Vries, Harwin & Duijzer, Evelot, 2017. "Incorporating driving range variability in network design for refueling facilities," Omega, Elsevier, vol. 69(C), pages 102-114.
  26. Naimat U Khan & Sajjad Khan, 2016. "Weak Form of Efficient Market Hypothesis: Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 8(SE), pages 1-18, March.
  27. Wang, Gang-Jin & Jiang, Zhi-Qiang & Lin, Min & Xie, Chi & Stanley, H. Eugene, 2018. "Interconnectedness and systemic risk of China's financial institutions," Emerging Markets Review, Elsevier, vol. 35(C), pages 1-18.
  28. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
  29. Lili Li & Shan Leng & Jun Yang & Mei Yu, 2016. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, September.
  30. Su, Zhi & Shu, Tengjia & Yin, Libo, 2018. "The pricing effect of the common pattern in firm-level idiosyncratic volatility: Evidence from A-Share stocks of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 218-235.
  31. Liu, Bin & Xia, XiangYang & Xiao, Wen, 2020. "Public information content and market information efficiency: A comparison between China and the U.S," China Economic Review, Elsevier, vol. 60(C).
  32. Hsu, David H. & Hsu, Po-Hsuan & Zhao, Qifeng, 2021. "Rich on paper? Chinese firms’ academic publications, patents, and market value," Research Policy, Elsevier, vol. 50(9).
  33. Pu, Yun & Zulauf, Carl, 2021. "Where are the fundamental traders? A model application based on the Shanghai Stock Exchange," Emerging Markets Review, Elsevier, vol. 49(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.