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Limit order books and trade informativeness

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  • Beltran-Lopez, Hélena
  • Grammig, Joachim G.
  • Menkveld, Albert J.

Abstract

In the microstructure literature, information asymmetry is an important determinant of market liquidity. The classic setting is that uninformed dedicated liquidity suppliers charge price concessions when incoming market orders are likely to be informationally motivated. In limit order book markets, however, this relationship is less clear, as market participants can switch roles, and freely choose to immediately demand or patiently supply liquidity by submitting either market or limit orders. We study the importance of information asymmetry in limit order books based on a recent sample of thirty German DAX stocks. We find that Hasbrouck's (1991) measure of trade informativeness Granger-causes book liquidity, in particular that required to fill large market orders. Picking-off risk due to public news induced volatility is more important for top-of-the book liquidity supply. In our multivariate analysis we control for volatility, trading volume, trading intensity and order imbalance to isolate the effect of trade informativeness on book liquidity.

Suggested Citation

  • Beltran-Lopez, Hélena & Grammig, Joachim G. & Menkveld, Albert J., 2011. "Limit order books and trade informativeness," CFS Working Paper Series 2011/09, Center for Financial Studies (CFS).
    • Handle: RePEc:zbw:cfswop:201109
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    Cited by:

    1. Dionne, Georges & Zhou, Xiaozhou, 2016. "The Dynamics of Ex-ante High-Frequency Liquidity: An Empirical Analysis," Working Papers 15-5, HEC Montreal, Canada Research Chair in Risk Management.
    2. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    3. Będowska-Sójka, Barbara, 2020. "Do aggressive orders affect liquidity? An evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 54(C).
    4. Georges Dionne & Xiaozhou Zhou, 2020. "The dynamics of ex-ante weighted spread: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 593-617, April.
    5. Ben Omrane, Walid & Tao, Yusi & Welch, Robert, 2017. "Scheduled macro-news effects on a Euro/US dollar limit order book around the 2008 financial crisis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 9-30.
    6. Doojin Ryu, 2015. "Information content of inter-transaction time: A structural approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(4), pages 697-711, August.
    7. J. Christopher Westland, 2023. "Determinants of liquidity in cryptocurrency markets," Digital Finance, Springer, vol. 5(2), pages 261-293, June.

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    More about this item

    Keywords

    Price Impact of Trades; Trading Intensity; Dynamic Duration Models; Spread Decomposition Models; Adverse Selection Risk;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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