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Trade size clustering and the cost of trading at the London Stock Exchange

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  • Verousis, Thanos
  • ap Gwilym, Owain

Abstract

For the London Stock Exchange, this paper investigates differences in trading costs between market maker (off-book) and order book trades, in the context of clustering in trade sizes and prices. We report several substantial findings. Even after controlling for differences in trade size, the realised spread measure is lower for off-book trades. For the order book, trade size clustering is not associated with differences in transaction costs nor with differences in the information content of trades. For the off-book market, trades in clustered (popular) sizes carry significantly more information than non-clustered trades. Despite the significant differences in the price impact estimates between the order book and off-book, we show that traders placing large orders off-book are still better off than trading via the order book as they benefit from a large discount from the current midpoint price. Additionally, we highlight that price and size clustering tend to occur simultaneously rather than being substitutes in this market setting.

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  • Verousis, Thanos & ap Gwilym, Owain, 2013. "Trade size clustering and the cost of trading at the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 91-102.
    • Handle: RePEc:eee:finana:v:27:y:2013:i:c:p:91-102
    DOI: 10.1016/j.irfa.2012.08.007
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    1. repec:dau:papers:123456789/295 is not listed on IDEAS
    2. Sylvain Friederich & Richard Payne, 2007. "Dealer Liquidity in an Auction Market: Evidence from the London Stock Exchange," Economic Journal, Royal Economic Society, vol. 117(522), pages 1168-1191, July.
    3. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. "Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    4. Laurie Simon Hodrick & Pamela C. Moulton, 2009. "Liquidity: Considerations of a Portfolio Manager," Financial Management, Financial Management Association International, vol. 38(1), pages 59-74, March.
    5. Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2012. "Trade Size And Price Clustering: The Case Of Short Sales And The Suspension Of Price Tests," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(2), pages 159-182, June.
    6. Riccardo Curcio & Charles Goodhart, 1991. "The Clustering of Bid/Ask Prices and the Spread in the Foreign Exchange Market," FMG Discussion Papers dp110, Financial Markets Group.
    7. Alexander, Gordon J. & Peterson, Mark A., 2007. "An analysis of trade-size clustering and its relation to stealth trading," Journal of Financial Economics, Elsevier, vol. 84(2), pages 435-471, May.
    8. Narayan, Paresh Kumar & Narayan, Seema & Popp, Stephan & D'Rosario, Michael, 2011. "Share price clustering in Mexico," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 113-119, April.
    9. ap Gwilym, Owain & Verousis, Thanos, 2010. "Price clustering and underpricing in the IPO aftermarket," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 89-97, March.
    10. Gajewski, Jean-Francois & Gresse, Carole, 2007. "Centralised order books versus hybrid order books: A paired comparison of trading costs on NSC (Euronext Paris) and SETS (London Stock Exchange)," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2906-2924, September.
    11. Christie, William G & Schultz, Paul H, 1994. "Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    12. Jean-François Gajewski & Carole Gresse, 2007. "Centralised order books versus hybrid order books: A paired comparison of trading costs on NSC (Euronext paris) and SETS (London Stock Exchange)," Post-Print halshs-00340104, HAL.
    13. Finucane, Thomas J., 2000. "A Direct Test of Methods for Inferring Trade Direction from Intra-Day Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 553-576, December.
    14. Bessembinder, Hendrik & Venkataraman, Kumar, 2004. "Does an electronic stock exchange need an upstairs market?," Journal of Financial Economics, Elsevier, vol. 73(1), pages 3-36, July.
    15. Jiang, Christine X. & Kim, Jang-Chul & Wood, Robert A., 2009. "Adverse selection costs for NASDAQ and NYSE after decimalization," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 205-211, September.
    16. Bessembinder, Hendrik, 1997. "The degree of price resolution and equity trading costs," Journal of Financial Economics, Elsevier, vol. 45(1), pages 9-34, July.
    17. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    18. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(3), pages 287-310, September.
    19. Sopranzetti, Ben J. & Datar, Vinay, 2002. "Price clustering in foreign exchange spot markets," Journal of Financial Markets, Elsevier, vol. 5(4), pages 411-417, October.
    20. Moulton, Pamela C., 2005. "You can't always get what you want: Trade-size clustering and quantity choice in liquidity," Journal of Financial Economics, Elsevier, vol. 78(1), pages 89-119, October.
    21. Ahn, Hee-Joon & Cai, Jun & Cheung, Yan Leung, 2005. "Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong," Journal of Financial Markets, Elsevier, vol. 8(4), pages 421-451, November.
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    Cited by:

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    2. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    3. Fernando Palao & Ángel Pardo Tornero, 2012. "When size matters: Clustering in the European Carbon Market," Working Papers. Serie EC 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
    5. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    6. Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2021. "Crypto Wash Trading," Papers 2108.10984, arXiv.org.
    7. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.

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    More about this item

    Keywords

    Trade-size clustering; Transaction costs; Price impact; LSE;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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