IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/16-20.html
   My bibliography  Save this paper

Retail Order Flow Segmentation

Author

Listed:
  • Corey Garriott
  • Adrian Walton

Abstract

In August 2012, the New York Stock Exchange launched the Retail Liquidity Program (RLP), a trading facility that enables participating organizations to quote dark limit orders executable only by retail traders. A Hasbrouck (1991) structural vector autoregression shows that the facility increased the information content of the order flow by distinguishing retail trades from relatively more informed trades. A differences-in-differences event study finds that the RLP launch impacted market quality. Stocks with substantial RLP activity experienced mildly improved relative bid-ask spreads, effective spreads, price impacts and return autocorrelations in both the RLP and non-RLP segments.

Suggested Citation

  • Corey Garriott & Adrian Walton, 2016. "Retail Order Flow Segmentation," Staff Working Papers 16-20, Bank of Canada.
    • Handle: RePEc:bca:bocawp:16-20
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2016/04/swp2016-20.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. 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.
    3. Michael J Fleming & Giang Nguyen, 2019. "Price and Size Discovery in Financial Markets: Evidence from the U.S. Treasury Securities Market," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 9(2), pages 256-295.
    4. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    5. Battalio, Robert H, 1997. "Third Market Broker-Dealers: Cost Competitors or Cream Skimmers?," Journal of Finance, American Finance Association, vol. 52(1), pages 341-352, March.
    6. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," The Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.
    7. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    8. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    9. Battalio, Robert & Holden, Craig W., 2001. "A simple model of payment for order flow, internalization, and total trading cost," Journal of Financial Markets, Elsevier, vol. 4(1), pages 33-71, January.
    10. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    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


    Cited by:

    1. Jain, Pankaj K. & Linna, Jared A. & McInish, Thomas H., 2021. "An examination of the NYSE’s retail liquidity program," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 367-373.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.
    2. 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).
    3. Jonathan Brogaard & Jing Pan, 2022. "Dark Pool Trading and Information Acquisition," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2625-2666.
    4. 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.
    5. Zhang, Zeyu & Ibikunle, Gbenga, 2023. "The market quality effects of sub-second frequent batch auctions: Evidence from dark trading restrictions," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Valseth, Siri, 2016. "Informed trading in Hybrid Bond Markets," UiS Working Papers in Economics and Finance 2016/13, University of Stavanger.
    7. Comerton-Forde, Carole & Putniņš, Tālis J., 2015. "Dark trading and price discovery," Journal of Financial Economics, Elsevier, vol. 118(1), pages 70-92.
    8. repec:uts:finphd:34 is not listed on IDEAS
    9. Hatheway, Frank & Kwan, Amy & Zheng, Hui, 2017. "An Empirical Analysis of Market Segmentation on U.S. Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2399-2427, December.
    10. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    11. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    12. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    13. Bernhardt, Dan & Hughson, Eric, 2002. "Intraday trade in dealership markets," European Economic Review, Elsevier, vol. 46(9), pages 1697-1732, October.
    14. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    15. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    16. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    17. Gregory Bauer & Clara Vega, 2004. "The Monetary Origins of Asymmetric Information in International Equity Markets," Staff Working Papers 04-47, Bank of Canada.
    18. Bayona, Anna & Dumitrescu, Ariadna & Manzano, Carolina, 2023. "Information and optimal trading strategies with dark pools," Economic Modelling, Elsevier, vol. 126(C).
    19. Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2008. "Determinants of bid and ask quotes and implications for the cost of trading," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 656-678, September.
    20. Peter Gomber & Satchit Sagade & Erik Theissen & Moritz Christian Weber & Christian Westheide, 2017. "Competition Between Equity Markets: A Review Of The Consolidation Versus Fragmentation Debate," Journal of Economic Surveys, Wiley Blackwell, vol. 31(3), pages 792-814, July.
    21. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.

    More about this item

    Keywords

    Financial markets; Financial system regulation and policies; Market structure and pricing;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bca:bocawp:16-20. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.