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Do Buyers and Sellers Behave Similarly in a Limit Order Book? A High-Frequency Data Examination of the Finnish Stock Exchange

Author

Listed:
  • Hedvall, Kaj

    (Department of Finance)

  • Niemeyer, Jonas

    (Department of Financial Stability)

  • Rosenqvist, Gunnar

    (Department of Statistics and Computer Science)

Abstract

The symmetry of an electronic limit order book is studied using high-frequency data. Is the order flow generated by buyers of the same structure as the one by sellers or would factors such as short selling restrictions and information trading result in asymmetries in the order flow? A model expressing symmetry of a limit order book is developed and tested within a log.-linear Poisson regression framework. Although the orderflow was found to be quite symmetric in general, clear asymmetries were identified for various trade categories suggesting differences between the order submission of buyers and sellers using a limit order book.

Suggested Citation

  • Hedvall, Kaj & Niemeyer, Jonas & Rosenqvist, Gunnar, 1997. "Do Buyers and Sellers Behave Similarly in a Limit Order Book? A High-Frequency Data Examination of the Finnish Stock Exchange," SSE/EFI Working Paper Series in Economics and Finance 160, Stockholm School of Economics.
    • Handle: RePEc:hhs:hastef:0160
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    References listed on IDEAS

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    1. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
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    Cited by:

    1. Al-Suhaibani, Mohammad & Kryzanowski, Lawrence, 2000. "An exploratory analysis of the order book, and order flow and execution on the Saudi stock market," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1323-1357, August.
    2. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
    3. Markku Vieru & Jukka Perttunen & Hannu Schadewitz, 2006. "How Investors Trade Around Interim Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(1‐2), pages 145-178, January.
    4. Blazejewski, Adam & Coggins, Richard, 2005. "A local non-parametric model for trade sign inference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 481-495.
    5. Adam Blazejewski & Richard Coggins, 2004. "A local non-parametric model for trade sign inference," Finance 0408009, University Library of Munich, Germany.
    6. Brown, Philip & Thomson, Nathanial & Walsh, David, 1999. "Characteristics of the order flow through an electronic open limit order book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 335-357, November.
    7. Rösch, Christoph G. & Kaserer, Christoph, 2014. "Reprint of: Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 152-170.
    8. Kovaleva, P. & Iori, G., 2012. "Optimal Trading Strategies in a Limit Order Market with Imperfect Liquidity," Working Papers 12/05, Department of Economics, City University London.
    9. Pham, Thu Phuong & Westerholm, P. Joakim, 2013. "A survey of research into broker identity and limit order book," Working Papers 17212, University of Tasmania, Tasmanian School of Business and Economics, revised 16 Oct 2013.
    10. Hall, Anthony D. & Hautsch, Nikolaus, 2007. "Modelling the buy and sell intensity in a limit order book market," Journal of Financial Markets, Elsevier, vol. 10(3), pages 249-286, August.
    11. Ibrahim, Boulis Maher & Kalaitzoglou, Iordanis Angelos, 2016. "Why do carbon prices and price volatility change?," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 76-94.
    12. Adam Blazejewski & Richard Coggins, 2004. "A piecewise linear model for trade sign inference," Finance 0412012, University Library of Munich, Germany.
    13. Sergei Maslov & Mark Mills, 2001. "Price fluctuations from the order book perspective - empirical facts and a simple model," Papers cond-mat/0102518, arXiv.org.
    14. Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January.
    15. Maslov, Sergei & Mills, Mark, 2001. "Price fluctuations from the order book perspective—empirical facts and a simple model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 234-246.
    16. Rösch, Christoph G. & Kaserer, Christoph, 2013. "Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2284-2302.
    17. W. Yang, 1999. "The Demand for and Supply of Shares. An Empirical Study of the Limit Order Book on the ASX," Economics Discussion / Working Papers 99-03, The University of Western Australia, Department of Economics.
    18. Rajat Tayal & Susan Thomas, 2012. "Measuring and explaining the asymmetry of liquidity," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-011, Indira Gandhi Institute of Development Research, Mumbai, India.
    19. Ahn, Hee-Joon & Cheung, Yan-Leung, 1999. "The intraday patterns of the spread and depth in a market without market makers: The Stock Exchange of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 539-556, December.
    20. Vo, Minh T., 2007. "Limit orders and the intraday behavior of market liquidity: Evidence from the Toronto stock exchange," Global Finance Journal, Elsevier, vol. 17(3), pages 379-396, March.

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    More about this item

    Keywords

    Market microstructure; limit order book; log-linear Poisson regression; quasi symmetry;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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