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Into the light: dark pool trading and intraday market quality on the primary exchange

Author

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  • Brugler, James

    (Bank of England)

Abstract

This paper uses regulator-provided transaction data to investigate how trading in dark pools affects intraday market quality on the limit order book of the primary exchange for members of the FTSE 100 index. Using trading patterns from execution algorithms as instrumental variables, I show that dark trading leads to improved liquidity on the primary exchange, both in absolute terms and relative to trading on the limit order book. Although these relationships differ across stocks of different sizes, dark trading does not lead to worse market quality at the intraday level for either small or large stocks during the sample period.

Suggested Citation

  • Brugler, James, 2015. "Into the light: dark pool trading and intraday market quality on the primary exchange," Bank of England working papers 545, Bank of England.
    • Handle: RePEc:boe:boeewp:0545
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    References listed on IDEAS

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    1. Degryse, Hans & Van Achter, Mark & Wuyts, Gunther, 2009. "Dynamic order submission strategies with competition between a dealer market and a crossing network," Journal of Financial Economics, Elsevier, vol. 91(3), pages 319-338, March.
    2. Vayanos, Dimitri, 2004. "Flight to quality, flight to liquidity, and the pricing of risk," LSE Research Online Documents on Economics 456, London School of Economics and Political Science, LSE Library.
    3. James Brugler & Oliver Linton, 2014. "Single stock circuit breakers on the London Stock Exchange: do they improve subsequent market quality?," CeMMAP working papers CWP07/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Sabrina Buti & Barbara Rindi & Ingrid M. Werner, 2014. "Dark Pool Trading Strategies, Market Quality and Welfare," Working Papers 530, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    6. Lena Boneva & Oliver Linton & Michael Vogt, 2016. "The Effect of Fragmentation in Trading on Market Quality in the UK Equity Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 192-213, January.
    7. James Brugler & Oliver Linton, 2014. "Circuit Breakers on the London Stock Exchange: Do they improve subsequent market quality?," Cambridge Working Papers in Economics 1453, Faculty of Economics, University of Cambridge.
    8. Terrence Hendershott & Haim Mendelson, 2000. "Crossing Networks and Dealer Markets: Competition and Performance," Journal of Finance, American Finance Association, vol. 55(5), pages 2071-2115, October.
    9. Hans Degryse & Frank de Jong & Vincent van Kervel, 2015. "The Impact of Dark Trading and Visible Fragmentation on Market Quality," Review of Finance, European Finance Association, vol. 19(4), pages 1587-1622.
    10. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    11. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Citations

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    Cited by:

    1. Ibikunle, Gbenga & Aquilina, Matteo & Diaz-Rainey, Ivan & Sun, Yuxin, 2021. "City goes dark: Dark trading and adverse selection in aggregate markets," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 1-22.
    2. Garvey, Ryan & Huang, Tao & Wu, Fei, 2016. "Why do traders choose dark markets?," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 12-28.
    3. Manuela Geranio, 2016. "Evolution of the Exchange Industry," Springer Books, Springer, number 978-3-319-21027-8, November.
    4. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao Jason, 2022. "Does the bid–ask spread affect trading in exchange operated dark pools? Evidence from a natural experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Carole Gresse, 2011. "Effects of Lit and Dark Market Fragmentation on Liquidity," Post-Print halshs-00641122, HAL.
    6. Gresse, Carole, 2017. "Effects of lit and dark market fragmentation on liquidity," Journal of Financial Markets, Elsevier, vol. 35(C), pages 1-20.
    7. Ibikunle, Gbenga & Li, Youwei & Mare, Davide & Sun, Yuxin, 2021. "Dark matters: The effects of dark trading restrictions on liquidity and informational efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2021. "Dark trading and alternative execution priority rules," LSE Research Online Documents on Economics 118866, London School of Economics and Political Science, LSE Library.
    9. Ibikunle, Gbenga & Rzayev, Khaladdin, 2023. "Volatility and dark trading: Evidence from the Covid-19 pandemic," The British Accounting Review, Elsevier, vol. 55(4).
    10. Sagade, Satchit & Scharnowski, Stefan & Westheide, Christian, 2022. "Broker colocation and the execution costs of customer and proprietary orders," SAFE Working Paper Series 366, Leibniz Institute for Financial Research SAFE.
    11. Carole Gresse, 2017. "Effects of Lit and Dark Market Fragmentation on Liquidity," Post-Print hal-01631771, HAL.

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    More about this item

    Keywords

    Dark pools; dark trading; market quality.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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