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The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests

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  • Amélie Charles

    ()
    (Audencia Recherche - Audencia)

  • Olivier Darne

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Université de Nantes : EA4272)

Abstract

This study examines the random walk hypothesis for the Shanghai and Shenzhen stock markets for both A and B shares, using daily data over the period 1992-2007. The hypothesis is tested with new multiple variance ratio tests - Whang-Kim subsampling and Kim's wild bootstrap tests - as well as the conventional multiple Chow-Denning test. We find that Class B shares for Chinese stock exchanges do not follow the random walk hypothesis, and therefore are significantly inefficient. The Class A shares seem more efficient.

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Bibliographic Info

Paper provided by HAL in its series Post-Print with number hal-00771080.

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Date of creation: 2009
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Publication status: Published, Economic Systems, 2009, 33, 2, 117-126
Handle: RePEc:hal:journl:hal-00771080

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Keywords: Chinese stock markets; Market efficiency; Random walk hypothesis; Variance ratio test;

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References

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Citations

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Cited by:
  1. 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.
  2. Huang, Ying Sophie & Wang, Yizhong, 2013. "Asset price, risk transfer and economic activities: Firm-level evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 663-676.
  3. Gabe J. de Bondt & Tuomas A. Peltonen & Daniel Santabárbara, 2010. "Booms and busts in China's stock market: Estimates based on fundamentals," Banco de Espa�a Working Papers 1032, Banco de Espa�a.
  4. Hiremath, Gourishankar S & Bandi, Kamaiah, 2012. "Variance ratios, structural breaks and nonrandom walk behaviour in the Indian stock returns," MPRA Paper 48710, University Library of Munich, Germany.
  5. Zhian Chen & Hai Jiang & Donghui Li & Ah Boon Sim, 2010. "Regulation Change and Volatility Spillovers: Evidence from China's Stock Markets," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 46(6), pages 140-157, November.
  6. Luis A. Gil-Alana & Yun Cao, 2010. "Stock market prices in China. Efficiency, mean reversion, long memory volatility and other implicit dynamics," Faculty Working Papers 12/11, School of Economics and Business Administration, University of Navarra.
  7. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.

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