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The Relation between Intraday Limit Order Book Depth and Spread

Author

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  • Alexandre Aidov

    (College of Business, University of Houston-Victoria, Victoria, TX 77901, USA)

  • Olesya Lobanova

    (College of Business, University of Houston-Victoria, Victoria, TX 77901, USA)

Abstract

Prior studies that examine the relation between market depth and bid–ask spread are often limited to the first level of the limit order book. However, the full limit order book provides important information beyond the first level about the depth and spread, which affects the trading decisions of market participants. This paper examines the intraday behavior of depth and spread in the five-deep limit order book and the relation between depth and spread in a futures market setting. A dummy-variables regression framework is employed and is estimated using the generalized method of moments (GMM). Results indicate an inverse U-shaped pattern for depth and an increasing pattern for spread. After controlling for known explanatory factors, an inverse relation between the limit order book depth and spread is documented. The inverse relation holds for depth and spread at individual levels in the limit order book as well. Results indicate that market participants actively manage both the price (spread) and quantity (depth) dimensions of liquidity along the five-deep limit order book.

Suggested Citation

  • Alexandre Aidov & Olesya Lobanova, 2021. "The Relation between Intraday Limit Order Book Depth and Spread," IJFS, MDPI, vol. 9(4), pages 1-13, November.
    • Handle: RePEc:gam:jijfss:v:9:y:2021:i:4:p:60-:d:669883
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Junmao Chiu & Huimin Chung & George H. K. Wang, 2014. "Intraday Liquidity Provision by Trader Types in a Limit Order Market: Evidence from Taiwan Index Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(2), pages 145-172, February.
    3. Hautsch, Nikolaus & Huang, Ruihong, 2012. "The market impact of a limit order," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 501-522.
    4. 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.
    5. Brockman, Paul & Chung, Dennis Y., 2000. "An empirical investigation of trading on asymmetric information and heterogeneous prior beliefs," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 417-454, December.
    6. Aitken, Michael & Almeida, Niall & deB. Harris, Frederick H. & McInish, Thomas H., 2007. "Liquidity supply in electronic markets," Journal of Financial Markets, Elsevier, vol. 10(2), pages 144-168, May.
    7. 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.
    8. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    9. Wang, Daxue, 2008. "Herd behavior towards the market index: Evidence from 21 financial markets," IESE Research Papers D/776, IESE Business School.
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