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Informed and Uninformed Trading in an Electronic, Order-Driven Environment

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  • Brockman, Paul
  • Chung, Dennis Y

Abstract

The purpose of our study is to investigate the trading behavior of informed and uninformed investors in a screen-based, order-driven environment. As more and more exchanges conduct trading through electronic limit-order books, it is increasingly important to analyze consequent trading behavior and its impact on the liquidity provision process. We examine one of the largest electronic, order-driven markets in the world, the Stock Exchange of Hong Kong. Our findings show that the interaction of informed and uninformed traders plays a significant role in determining corporate liquidity. Copyright 2000 by MIT Press.

Suggested Citation

  • Brockman, Paul & Chung, Dennis Y, 2000. "Informed and Uninformed Trading in an Electronic, Order-Driven Environment," The Financial Review, Eastern Finance Association, vol. 35(2), pages 125-146, May.
    • Handle: RePEc:bla:finrev:v:35:y:2000:i:2:p:125-46
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    Cited by:

    1. K. Bień-Barkowska, 2013. "Informed and uninformed trading in the EUR/PLN spot market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(7), pages 619-628, April.
    2. Chung, Chune Young & Wang, Kainan, 2016. "The impact of individual investor trading on information asymmetry in the Korean stock market," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 472-484.
    3. Alexandra Hachmeister & Dirk Schiereck, 2010. "Dancing in the dark: post-trade anonymity, liquidity and informed trading," Review of Quantitative Finance and Accounting, Springer, vol. 34(2), pages 145-177, February.
    4. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.
    5. He, Yan & Wu, Chunchi & Chen, Yea-Mow, 2003. "An explanation of the volatility disparity between the domestic and foreign shares in the Chinese stock markets," International Review of Economics & Finance, Elsevier, vol. 12(2), pages 171-186.
    6. Chune Young Chung & Yunjae Lee & Doojin Ryu, 2017. "Do Domestic Institutional Trades Exacerbate Information Asymmetry? Evidence from the Korean Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(4), pages 309-322, December.
    7. Brockman, Paul & Chung, Dennis Y., 2008. "Commonality under market stress: Evidence from an order-driven market," International Review of Economics & Finance, Elsevier, vol. 17(2), pages 179-196.
    8. Guangchuan Li & Lei Lu & Bo Wu & Zhou Zhang, 2014. "Asymmetric information, illiquidity and asset returns: evidence from China," Quantitative Finance, Taylor & Francis Journals, vol. 14(6), pages 947-957, June.
    9. Zhou, Rhea Tingyu & Lai, Rose Neng, 2009. "Herding and information based trading," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 388-393, June.
    10. Chung, Chune Young & Kim, Hyeik & Wang, Kainan, 2022. "Do domestic or foreign institutional investors matter? The case of firm information asymmetry in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    11. Wang, Li-Hsun & Lin, Chu-Hsiung & Fung, Hung-Gay & Chen, Hsien-Ming, 2015. "Governance mechanisms and downside risk," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 485-498.
    12. Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
    13. Yue‐cheong Chan, 2005. "Price Movement Effects on the State of the Electronic Limit‐Order Book," The Financial Review, Eastern Finance Association, vol. 40(2), pages 195-221, May.
    14. Hao Li & Zhisheng Li, 2022. "The effect of daily price limits on stock liquidity: Evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4885-4917, December.

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