Advanced Search
MyIDEAS: Login

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

Contents:

Author Info

  • 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.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 160.

as in new window
Length: 23 pages
Date of creation: Feb 1997
Date of revision:
Publication status: Published in Journal of Empirical Finance, 1997, pages 279-293.
Handle: RePEc:hhs:hastef:0160

Contact details of provider:
Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
Phone: +46-(0)8-736 90 00
Fax: +46-(0)8-31 01 57
Email:
Web page: http://www.hhs.se/
More information through EDIRC

Related research

Keywords: Market microstructure; limit order book; log-linear Poisson regression; quasi symmetry;

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Easley, David, et al, 1996. " Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-36, September.
  2. Vijh, Anand M, 1990. " Liquidity of the CBOE Equity Options," Journal of Finance, American Finance Association, vol. 45(4), pages 1157-79, September.
  3. 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 1655-89, December.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. 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.
  2. 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, 03.
  3. 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.
  4. 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.
  5. Adam Blazejewski & Richard Coggins, 2004. "A piecewise linear model for trade sign inference," Finance 0412012, EconWPA.
  6. Adam Blazejewski & Richard Coggins, 2004. "A local non-parametric model for trade sign inference," Finance 0408009, EconWPA.
  7. Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January.
  8. 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.
  9. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:hhs:hastef:0160

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Helena Lundin).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.