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An Empirical Analysis of the Shanghai and Shenzen Limit Order Books

Author

Listed:
  • Huimin Chung
  • Jie Lu
  • Bruce Mizrach

Abstract

This paper investigates the market microstructure of the Shanghai and Shenzhen Stock Ex- changes. The two major Chinese stock markets are pure order-driven trading mechanisms without market makers, and we analyze empirically both limit order books. We begin our empirical model- ing using the vector autoregressive model of Hasbrouck and extend the model to incorporate other information in the limit order book. We also study the market impact on A shares, B shares and H shares, and analyze how the market impact of stocks varies cross sectionally with market capital- ization, tick frequencies, and turnover. Furthermore, we distinguish the market impacts of small, average and block trades, and conclude that the market impacts of small trades are signi?cantly lower than those of other trades.

Suggested Citation

  • Huimin Chung & Jie Lu & Bruce Mizrach, 2009. "An Empirical Analysis of the Shanghai and Shenzen Limit Order Books," CQE Working Papers 0109, Center for Quantitative Economics (CQE), University of Muenster.
    • Handle: RePEc:cqe:wpaper:0109
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    References listed on IDEAS

    as
    1. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    2. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    3. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
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    5. Shenoy, Catherine & Zhang, Ying Jenny, 2007. "Order imbalance and stock returns: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(5), pages 637-650, December.
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    7. Cai, Bill M. & Cai, Charlie X. & Keasey, Kevin, 2006. "Which trades move prices in emerging markets?: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 453-466, November.
    8. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    9. Chunyang Zhou & Chongfeng Wu & Li Yang, 2011. "The Informational Role of Stock and Warrant Trades: Empirical Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 78-93, January.
    10. Kalok Chan & Y. Peter Chung & Wai-Ming Fong, 2002. "The Informational Role of Stock and Option Volume," Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1049-1075.
    11. Bruce Mizrach, 2008. "The next tick on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 19-40.
    12. Bailey, Warren & Cai, Jun & Cheung, Yan Leung & Wang, Fenghua, 2009. "Stock returns, order imbalances, and commonality: Evidence on individual, institutional, and proprietary investors in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 9-19, January.
    13. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
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    Cited by:

    1. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    2. Westerlund, Joakim & Narayan, Paresh Kumar & Zheng, Xinwei, 2015. "Testing for stock return predictability in a large Chinese panel," Emerging Markets Review, Elsevier, vol. 24(C), pages 81-100.

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    More about this item

    Keywords

    limit order book; Chinese stock market; microstructure; VAR model;
    All these keywords.

    JEL classification:

    • A - General Economics and Teaching

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