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Further evidence on the efficiency of the Chinese stock markets: A note

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  • Fifield, Suzanne G.M.
  • Jetty, Juliana

Abstract

This paper examines the efficiency of the Chinese A-share and B-share markets following the deregulation of the B-share market which widened ownership to include domestic investors. Applying parametric and non-parametric variance ratio tests to the daily data of 370 shares over 1996-2005, the paper finds that A-shares are more efficient than B-shares, although the efficiency of both markets has improved following the regulatory change. Overall, the results suggest that the Chinese stock markets are characterised by information asymmetry, although the timely access to high quality information that domestic investors enjoy has improved the efficiency of the B-share market.

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  • Fifield, Suzanne G.M. & Jetty, Juliana, 2008. "Further evidence on the efficiency of the Chinese stock markets: A note," Research in International Business and Finance, Elsevier, vol. 22(3), pages 351-361, September.
    • Handle: RePEc:eee:riibaf:v:22:y:2008:i:3:p:351-361
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    3. Charles, Amélie & Darné, Olivier, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Economic Systems, Elsevier, vol. 33(2), pages 117-126, June.
    4. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    5. Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
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    7. Francesco Guidi & Rakesh Gupta, 2011. "Are ASEAN stock market efficient? Evidence from univariate and multivariate variance ratio tests," Discussion Papers in Finance finance:201113, Griffith University, Department of Accounting, Finance and Economics.
    8. 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.
    9. Bohl, Martin T. & Schuppli, Michael & Siklos, Pierre L., 2010. "Stock return seasonalities and investor structure: Evidence from China's B-share markets," China Economic Review, Elsevier, vol. 21(1), pages 190-201, March.
    10. 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.
    11. Xu, Lilai & Oh, K.B., 2011. "The stock market in China: An endogenous adjustment process responding to the demands of economic reform and growth," Journal of Asian Economics, Elsevier, vol. 22(1), pages 36-47, February.
    12. Zaremba, Adam & Umutlu, Mehmet & Maydybura, Alina, 2020. "Where have the profits gone? Market efficiency and the disappearing equity anomalies in country and industry returns," Journal of Banking & Finance, Elsevier, vol. 121(C).
    13. Hung, Jui-Cheng, 2009. "Deregulation and liberalization of the Chinese stock market and the improvement of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 843-857, August.
    14. 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.
    15. Sánchez-Granero, M.A. & Balladares, K.A. & Ramos-Requena, J.P. & Trinidad-Segovia, J.E., 2020. "Testing the efficient market hypothesis in Latin American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    16. Abdul Razak Abdul Hadi & Eddy Tat Hiung Yap & Zalina Zainudin, 2019. "The Effects of Relative Strength of USD and Overnight Policy Rate on Performance of Malaysian Stock Market – Evidence from 1980 through 2015," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(2), June.
    17. Koutmos, Dimitrios & Song, Wei, 2014. "Speculative dynamics and price behavior in the Shanghai Stock Exchange," Research in International Business and Finance, Elsevier, vol. 31(C), pages 74-86.
    18. Bohl, Martin T. & Schuppli, Michael & Siklos, Pierre L., 2010. "Stock return seasonalities and investor structure: Evidence from China's B-share markets," China Economic Review, Elsevier, vol. 21(1), pages 190-201, March.
    19. Koutmos, Dimitrios, 2016. "Distilling private information from plain-vanilla options to predict future underlying stock price volatility: Evidence from the H-shares of Chinese banks," Research in International Business and Finance, Elsevier, vol. 37(C), pages 391-405.
    20. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    21. Jamaani, Fouad & Roca, Eduardo, 2015. "Are the regional Gulf stock markets weak-form efficient as single stock markets and as a regional stock market?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 221-246.
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    23. Karen Balladares & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Angel Sánchez-Granero, 2021. "Statistical Arbitrage in Emerging Markets: A Global Test of Efficiency," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
    24. Enrico Geretto & Rubens Pauluzzo, 2012. "Stock Exchange Markets in China: Structure and Main Problems," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 89-106, September.

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