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Commonalities in the order book

Author

Listed:
  • BELTRAN-LOPEZ, Héléna
  • GIOT, Pierre
  • GRAMMIG, Joachim

Abstract

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price we find that the factor information shares are highest (about ten percent) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.
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Suggested Citation

  • BELTRAN-LOPEZ, Héléna & GIOT, Pierre & GRAMMIG, Joachim, 2009. "Commonalities in the order book," LIDAM Reprints CORE 2195, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2195
    DOI: 10.1007/s11408-009-0109-y
    Note: In : Financial Markets and Portfolio Management, 23(3), 209-242, 2009
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    Citations

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    Cited by:

    1. Katarzyna Bień-Barkowska, 2014. "“Every move you make, every step you take, I’ll be watching you” – the quest for hidden orders in the interbank FX spot market," Bank i Kredyt, Narodowy Bank Polski, vol. 45(3), pages 197-224.
    2. Georges Dionne & Xiaozhou Zhou, 2016. "The Dynamics of Ex-ante High-Frequency Liquidity: An Empirical Analysis," Working Papers 15-5, HEC Montreal, Canada Research Chair in Risk Management.
    3. Stange, Sebastian & Kaserer, Christoph, 2008. "The impact of order size on stock liquidity: a representative study," CEFS Working Paper Series 2008-09, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    4. Ioane Muni Toke, 2013. "The order book as a queueing system: average depth and influence of the size of limit orders," Papers 1311.5661, arXiv.org.
    5. D'Hondt, Catherine & Majois, Christophe & Mazza, Paolo, 2015. "Commonality on Euronext: Do location and account type matter?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 183-198.
    6. Richard G. Anderson & Jane M. Binner & Björn Hagströmer & Birger Nilsson, 2009. "Dynamics in systematic liquidity," Working Papers 2009-025, Federal Reserve Bank of St. Louis.
    7. Anderson, Richard G. & Binner, Jane M. & Hagströmer, Björn & Nilsson, Birger, 2013. "Does Commonality in Illiquidity Matter to Investors?," Working Papers 2013:24, Lund University, Department of Economics.
    8. Peter Gomber & Uwe Schweickert & Erik Theissen, 2015. "Liquidity Dynamics in an Electronic Open Limit Order Book: an Event Study Approach," European Financial Management, European Financial Management Association, vol. 21(1), pages 52-78, January.
    9. 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.
    10. Dionne, Georges & Pacurar, Maria & Zhou, Xiaozhou, 2015. "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 202-219.
    11. 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.
    12. Michael Chlistalla & Marco Lutat, 2011. "Competition in securities markets: the impact on liquidity," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(2), pages 149-172, June.
    13. Kempf, Alexander & Mayston, Daniel, 2006. "Liquidity commonality beyond best prices," CFR Working Papers 06-04, University of Cologne, Centre for Financial Research (CFR).
    14. Ioane Muni Toke, 2015. "The order book as a queueing system: average depth and influence of the size of limit orders," Post-Print hal-01006410, HAL.
    15. Grammig, Joachin & Heinen, Andreas & Rengifo, Erick, 2004. "Trading activity and liquidity supply in a pure limit order book market: An empirical analysis using a multivariate count data model," MPRA Paper 8115, University Library of Munich, Germany.
    16. Tolga Cenesizoglu & Georges Dionne & Xiaozhou Zhou, 2014. "Effects of the Limit Order Book on Price Dynamics," Working Papers 14-5, HEC Montreal, Canada Research Chair in Risk Management.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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