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Are Chinese stock markets efficient? Further evidence from a battery of nonlinearity tests

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  • Kian-Ping Lim
  • Robert Brooks

Abstract

Given that the efficiency of the Chinese stock markets was empirically examined in extant literature using statistical tests that are designed to uncover linear correlations of price changes, the obtained statistical inferences of efficiency/inefficiency are on very shaky grounds as highlighted in a recent article by Saadi et al. (2006). Motivated by this concern, the present article re-examines the efficiency of the A- and B-shares markets in Shanghai and Shenzhen Stock Exchanges (SHSE and SZSE) using a battery of nonlinearity tests. The empirical investigation reveals strong evidence of nonlinear serial dependence in the underlying returns generating processes for all indices even after removing linear serial correlations from the data, hence, contradicting the unpredictable criterion of weak-form efficient market hypothesis. Theoretically, these results are not surprising given the fact that investors in the Chinese stock markets trade like noise traders, who purely speculate and treat the market like a casino.

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  • Kian-Ping Lim & Robert Brooks, 2009. "Are Chinese stock markets efficient? Further evidence from a battery of nonlinearity tests," Applied Financial Economics, Taylor & Francis Journals, vol. 19(2), pages 147-155.
    • Handle: RePEc:taf:apfiec:v:19:y:2009:i:2:p:147-155
    DOI: 10.1080/09603100701765182
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    2. Kostas Mavromaras & Neha Deo & Heath Spong & Maria Estela Varua, 2017. "The Impact of the GFC on Sectoral Market Efficiency: Non-linear Testing for the Case of Australia," The Economic Record, The Economic Society of Australia, vol. 93, pages 38-56, June.
    3. Coronado-Ramírez, Semei L. & Porras-Serrano, Jesús & Venegas-Martínez, Francisco, 2011. "Estructuras no lineales en mercados eficientes: el caso IBEX-35," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Perrotini-Hernández, Ignacio (ed.), Economía: Teoría y Métodos, volume 1, chapter 8, pages 116-129, Escuela Superior de Economía, Instituto Politécnico Nacional.
    4. Sam, Abdoul G. & Zhang, Xiaodong, 2020. "Value relevance of the new environmental enforcement regime in China," Journal of Corporate Finance, Elsevier, vol. 62(C).
    5. Gabe de Bondt & Tuomas Peltonen & Daniel Santabarbara, 2011. "Booms and busts in China's stock market: estimates based on fundamentals," Applied Financial Economics, Taylor & Francis Journals, vol. 21(5), pages 287-300.
    6. Gourishankar S Hiremath & Bandi Kamaiah, 2010. "Nonlinear Dependence in Stock Returns: Evidences from India," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(1), pages 69-85, January.
    7. Kian-Ping Lim & Weiwei Luo & Jae H. Kim, 2013. "Are US stock index returns predictable? Evidence from automatic autocorrelation-based tests," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 953-962, March.
    8. 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.
    9. Rico Belda, Paz, 2013. "No linealidad y asimetría en el proceso generador del Índice Ibex35/Nonlinearity and Asymmetry in the Generator Process of Ibex35 Index," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 31, pages 555-576, Septiembr.

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