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Transparency in fragmented markets: Experimental evidence

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  • Hendershott, Terrence
  • Wee, Marvin
  • Wen, Yuanji

Abstract

We experimentally examine pre-trade transparency in fragmented limit order markets. Allowing traders to hide their orders encourages limit order usage. This improves measures of liquidity by increasing depth and narrowing spreads. However, because some of this depth is not displayed, market fragmentation may limit traders’ ability to capitalize on the improved liquidity. This happens when traders execute against orders at worse prices than orders in another market, often referred to as “trade-throughs.” In our laboratory setting, increased trade-throughs in a dark market impose costs of similar magnitude to the benefits of increases in depth leaving effective liquidity unchanged.

Suggested Citation

  • Hendershott, Terrence & Wee, Marvin & Wen, Yuanji, 2022. "Transparency in fragmented markets: Experimental evidence," Journal of Financial Markets, Elsevier, vol. 59(PA).
  • Handle: RePEc:eee:finmar:v:59:y:2022:i:pa:s1386418122000258
    DOI: 10.1016/j.finmar.2022.100732
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    References listed on IDEAS

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    1. Moinas, Sophie, 2010. "Hidden Limit Orders and Liquidity in Order Driven Markets," IDEI Working Papers 600, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Buti, Sabrina & Rindi, Barbara, 2013. "Undisclosed orders and optimal submission strategies in a limit order market," Journal of Financial Economics, Elsevier, vol. 109(3), pages 797-812.
    3. Costa-Gomes, Miguel & Crawford, Vincent P & Broseta, Bruno, 2001. "Cognition and Behavior in Normal-Form Games: An Experimental Study," Econometrica, Econometric Society, vol. 69(5), pages 1193-1235, September.
    4. Michael Brolley, 2020. "Price Improvement and Execution Risk in Lit and Dark Markets," Management Science, INFORMS, vol. 66(2), pages 863-886, February.
    5. Kovaleva, Polina & Iori, Giulia, 2015. "The impact of reduced pre-trade transparency regimes on market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 145-162.
    6. Thierry Foucault & Albert J. Menkveld, 2008. "Competition for Order Flow and Smart Order Routing Systems," Journal of Finance, American Finance Association, vol. 63(1), pages 119-158, February.
    7. Hendershott, Terrence & Jones, Charles M., 2005. "Trade-through prohibitions and market quality," Journal of Financial Markets, Elsevier, vol. 8(1), pages 1-23, February.
    8. Buti, Sabrina & Rindi, Barbara & Werner, Ingrid M., 2017. "Dark pool trading strategies, market quality and welfare," Journal of Financial Economics, Elsevier, vol. 124(2), pages 244-265.
    9. Robert Battalio & Brian Hatch & Robert Jennings, 2004. "Toward a National Market System for U.S. Exchange-listed Equity Options," Journal of Finance, American Finance Association, vol. 59(2), pages 933-962, April.
    10. Foley, Sean & Putniņš, Tālis J., 2016. "Should we be afraid of the dark? Dark trading and market quality," Journal of Financial Economics, Elsevier, vol. 122(3), pages 456-481.
    11. Peterson, Mark & Sirri, Erik, 2002. "Order Submission Strategy and the Curious Case of Marketable Limit Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(2), pages 221-241, June.
    12. Gozluklu, Arie E., 2016. "Pre-trade transparency and informed trading: Experimental evidence on undisclosed orders," Journal of Financial Markets, Elsevier, vol. 28(C), pages 91-115.
    13. Menkveld, Albert J. & Yueshen, Bart Zhou & Zhu, Haoxiang, 2017. "Shades of darkness: A pecking order of trading venues," Journal of Financial Economics, Elsevier, vol. 124(3), pages 503-534.
    14. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    15. Comerton-Forde, Carole & Putniņš, Tālis J., 2015. "Dark trading and price discovery," Journal of Financial Economics, Elsevier, vol. 118(1), pages 70-92.
    16. Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues [Performance of institutional trading desks: An analysis of persistence in trading costs]," Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3364-3402.
    17. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.
    18. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    19. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2015. "Hidden Liquidity: Some New Light on Dark Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2227-2274, October.
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    Cited by:

    1. Bayona, Anna & Dumitrescu, Ariadna & Manzano, Carolina, 2023. "Information and optimal trading strategies with dark pools," Economic Modelling, Elsevier, vol. 126(C).

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    More about this item

    Keywords

    Hidden orders; Iceberg orders; Dark pool trading; Limit order book market; Laboratory test;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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