An Empirical Analysis of the Shanghai and Shenzhen Limit Order Books
AbstractThis paper investigates the market microstructure of the Shanghai and Shenzhen Stock Exchanges. 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 modeling 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 capitalization, tick frequencies, and turnover. Furthermore, we find that market impact is increasing in trade size. Order imbalances predict the next day's returns, with small order imbalances having a negative effect.
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Bibliographic InfoPaper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number 201319.
Length: 20 pages
Date of creation: 16 Jul 2013
Date of revision:
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limit order book; Chinese stock market; microstructure; VAR model;
Other versions of this item:
- Chung, Huimin & Gao, Cheng & Lu, Jie & Mizrach, Bruce, 2013. "An empirical analysis of the Shanghai and Shenzhen limit order books," Economic Modelling, Elsevier, vol. 34(C), pages 37-41.
- 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.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-28 (All new papers)
- NEP-MST-2013-07-28 (Market Microstructure)
- NEP-TRA-2013-07-28 (Transition Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hasbrouck, Joel, 1991. " Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
- Bruce Mizrach, 2008. "The next tick on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 19-40.
- Xu, Cheng Kenneth, 2000. "The microstructure of the Chinese stock market," China Economic Review, Elsevier, vol. 11(1), pages 79-97.
- 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.
- 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.
- 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.
- 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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