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Detecting Liquidity Traders

Author

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  • Kalay, Avner
  • Wohl, Avi

Abstract

We develop a measure (based on the relative slopes of the demand and supply schedules) quantifying the asymmetric presence of liquidity traders in the market: a steeper slope of the demand (supply) schedule indicates a concentration of liquidity traders on the demand (supply) side. Using the opening session of the Tel Aviv Stock Exchange, we demonstrate the predictive power of our measure. Consistent with theory, we find that the concentration of liquidity traders on the demand (supply) side is negatively (positively) correlated with future returns. We find that liquidity traders are likely to arrive at the market together (commonality).

Suggested Citation

  • Kalay, Avner & Wohl, Avi, 2009. "Detecting Liquidity Traders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 29-54, February.
    • Handle: RePEc:cup:jfinqa:v:44:y:2009:i:01:p:29-54_09
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    Citations

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    Cited by:

    1. Lescourret, Laurence, 2012. "Non-Fundamental Information and Market-Makers' Behavior during the NASDAQ Preopening Session," ESSEC Working Papers WP1212, ESSEC Research Center, ESSEC Business School.
    2. Martin Dierker & Jung-Wook Kim & Jason Lee & Randall Morck, 2016. "Investors’ Interacting Demand and Supply Curves for Common Stocks," Review of Finance, European Finance Association, vol. 20(4), pages 1517-1547.
    3. Tolga Cenesizoglu & Georges Dionne & Xiaozhou Zhou, 2014. "Effects of the Limit Order Book on Price Dynamics," Cahiers de recherche 1426, CIRPEE.
    4. Panagiotis Anagnostidis & Patrice Fontaine & Christos Varsakelis, 2020. "Are high–frequency traders informed?," Post-Print hal-03062831, HAL.
    5. 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.
    6. Anagnostidis, Panagiotis & Fontaine, Patrice & Varsakelis, Christos, 2020. "Are high–frequency traders informed?," Economic Modelling, Elsevier, vol. 93(C), pages 365-383.
    7. Cenesizoglu, Tolga & Dionne, Georges & Zhou, Xiaozhou, 2022. "Asymmetric effects of the limit order book on price dynamics," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 77-98.
    8. Asparouhova, Elena & Bossaerts, Peter, 2009. "Modelling price pressure in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 119-130, October.
    9. repec:hal:journl:hal-00772798 is not listed on IDEAS
    10. Duong, Huu Nhan & Kalev, Petko S., 2014. "Anonymity and the Information Content of the Limit Order Book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 205-219.
    11. Cenesizoglu, Tolga & Grass, Gunnar, 2018. "Bid- and ask-side liquidity in the NYSE limit order book," Journal of Financial Markets, Elsevier, vol. 38(C), pages 14-38.
    12. Laurence Lescourret, 2017. "Cold Case File? Inventory Risk and Information Sharing during the pre†1997 NASDAQ," European Financial Management, European Financial Management Association, vol. 23(4), pages 761-806, September.

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