IDEAS home Printed from https://ideas.repec.org/p/wrk/warwec/1394.html
   My bibliography  Save this paper

Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog

Author

Listed:
  • Barardehi, Yashar H.

    (Argyros School of Business & Economics, Chapman University and the U.S. Securities and Exchange Commission)

  • Bernhardt, Dan

    (Department of Economics at the University of Illinois and the University of Warwick)

  • Da, Zhi

    (Mendoza College of Business, University of Notre Dame)

  • Mitch Warachka, Mitch

    (Argyros School of Business & Economics, Chapman University)

Abstract

The decision of wholesalers to internalize retail order flow primarily reflects institutional liquidity demand. We first use the Tick Size Pilot to highlight this decision’s influence on the retail trade imbalances denoted Mroib by Boehmer et al. (2021). We then show that wholesalers internalize more retail order flow when institutional demand is higher, leading Mroib to be inversely related to institutional order flow. Intraday returns move in the same direction as institutional price pressure but the opposite direction of Mroib. Moreover, |Mroib| is highest when institutional trading costs are highest. Distant future returns display strong ∪-shaped patterns conditional on Mroib, consistent with a permanent liquidity premium driving the positive relation between these returns and the magnitude of |Mroib|.

Suggested Citation

  • Barardehi, Yashar H. & Bernhardt, Dan & Da, Zhi & Mitch Warachka, Mitch, 2022. "Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog," The Warwick Economics Research Paper Series (TWERPS) 1394, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:1394
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/2022/twerp_1394_-_bernhardt.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    2. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    3. Thierry Foucault & David Sraer & David J. Thesmar, 2011. "Individual Investors and Volatility," Journal of Finance, American Finance Association, vol. 66(4), pages 1369-1406, August.
    4. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1996. "Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow," Journal of Finance, American Finance Association, vol. 51(3), pages 811-833, July.
    5. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, June.
    6. Lou, Dong & Polk, Christopher & Skouras, Spyros, 2019. "A tug of war: overnight versus intraday expected returns," LSE Research Online Documents on Economics 87481, London School of Economics and Political Science, LSE Library.
    7. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    8. Lou, Dong & Polk, Christopher & Skouras, Spyros, 2019. "A tug of war: Overnight versus intraday expected returns," Journal of Financial Economics, Elsevier, vol. 134(1), pages 192-213.
    9. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    10. Berkman, Henk & Koch, Paul D. & Tuttle, Laura & Zhang, Ying Jenny, 2012. "Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 715-741, August.
    11. Mark A. Peterson & Erik R. Sirri, 2003. "Order Preferencing and Market Quality on U.S. Equity Exchanges," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 385-415.
    12. Robert Battalio & Jason Greene & Brian Hatch, 2002. "Does the Limit Order Routing Decision Matter?," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 159-194, March.
    13. Russell Jame, 2018. "Liquidity Provision and the Cross Section of Hedge Fund Returns," Management Science, INFORMS, vol. 64(7), pages 3288-3312, July.
    14. Amber Anand & Paul Irvine & Andy Puckett & Kumar Venkataraman, 2012. "Performance of Institutional Trading Desks: An Analysis of Persistence in Trading Costs," The Review of Financial Studies, Society for Financial Studies, vol. 25(2), pages 557-598.
    15. Battalio, Robert & Greene, Jason & Jennings, Robert, 1997. "Do Competing Specialists and Preferencing Dealers Affect Market Quality?," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 969-993.
    16. Albuquerque, Rui & Song, Shiyun & Yao, Chen, 2020. "The price effects of liquidity shocks: A study of the SEC’s tick size experiment," Journal of Financial Economics, Elsevier, vol. 138(3), pages 700-724.
    17. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    18. Christine A. Parlour & Duane J. Seppi, 2003. "Liquidity-Based Competition for Order Flow," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 301-343.
    19. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    20. Mark S. Seasholes & Terrence Hendershott, 2007. "Market Maker Inventories and Stock Prices," American Economic Review, American Economic Association, vol. 97(2), pages 210-214, May.
    21. Barclay, Michael J. & Hendershott, Terrence, 2008. "A comparison of trading and non-trading mechanisms for price discovery," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 839-849, December.
    22. Werner, Ingrid M. & Wen, Yuanji & Rindi, Barbara & Buti, Sabrina, 2019. "Tick Size, Trading Strategies and Market Quality," Working Paper Series 2019-03, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    23. Jiang, Christine X. & Likitapiwat, Tanakorn & McInish, Thomas H., 2012. "Information Content of Earnings Announcements: Evidence from After-Hours Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1303-1330, December.
    24. Hemang Desai & K. Ramesh & S. Ramu Thiagarajan & Bala V. Balachandran, 2002. "An Investigation of the Informational Role of Short Interest in the Nasdaq Market," Journal of Finance, American Finance Association, vol. 57(5), pages 2263-2287, October.
    25. Hendershott, Terrence & Livdan, Dmitry & Rösch, Dominik, 2020. "Asset pricing: A tale of night and day," Journal of Financial Economics, Elsevier, vol. 138(3), pages 635-662.
    26. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    27. Hu, Gang, 2009. "Measures of implicit trading costs and buy-sell asymmetry," Journal of Financial Markets, Elsevier, vol. 12(3), pages 418-437, August.
    28. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
    29. Robert Battalio & Shane A. Corwin & Robert Jennings, 2016. "Can Brokers Have It All? On the Relation between Make-Take Fees and Limit Order Execution Quality," Journal of Finance, American Finance Association, vol. 71(5), pages 2193-2238, October.
    30. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    31. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2019. "Information, Trading, and Volatility: Evidence from Firm-Specific News," The Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 992-1033.
    32. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    33. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    34. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    35. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    36. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
    37. Andy Puckett & Xuemin (Sterling) Yan, 2011. "The Interim Trading Skills of Institutional Investors," Journal of Finance, American Finance Association, vol. 66(2), pages 601-633, April.
    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. Buti, Sabrina & Rindi, Barbara & Werner, Ingrid M., 2010. "Diving into Dark Pools," Working Paper Series 2010-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    2. Chiou, Calvin J. & Zhou, Xiaozhou & Chan, Chang, 2022. "A taxonomy of individual liquidity provision: Evidence from the Taiwan stock exchange," Finance Research Letters, Elsevier, vol. 50(C).
    3. Sabrina Buti & Barbara Rindi & Ingrid M. Werner, 2022. "Diving into dark pools," Financial Management, Financial Management Association International, vol. 51(4), pages 961-994, December.

    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. Wang, Qin & Zhang, Jun, 2015. "Does individual investor trading impact firm valuation?," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 120-135.
    2. Farrell, Michael & Green, T. Clifton & Jame, Russell & Markov, Stanimir, 2022. "The democratization of investment research and the informativeness of retail investor trading," Journal of Financial Economics, Elsevier, vol. 145(2), pages 616-641.
    3. Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
    4. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang & Xinran Zhang, 2021. "Tracking Retail Investor Activity," Journal of Finance, American Finance Association, vol. 76(5), pages 2249-2305, October.
    5. Umut c{C}etin & Alaina Danilova, 2022. "Order routing and market quality: Who benefits from internalisation?," Papers 2212.07827, arXiv.org.
    6. Wolff, Christian, 2017. "Trading in style: Retail investors vs. institutions," CEPR Discussion Papers 12462, C.E.P.R. Discussion Papers.
    7. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
    8. Wang, Shu-Feng & Lee, Kuan-Hui & Woo, Min-Cheol, 2017. "Do individual short-sellers make money? Evidence from Korea," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 159-172.
    9. Eaton, Gregory W. & Green, T. Clifton & Roseman, Brian S. & Wu, Yanbin, 2022. "Retail trader sophistication and stock market quality: Evidence from brokerage outages," Journal of Financial Economics, Elsevier, vol. 146(2), pages 502-528.
    10. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    11. Liu, Xufeng & Wan, Die, 2022. "Asymmetric positive feedback trading and stock pricing in China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    12. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    13. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    14. Aytekin Ertan & Stephen A. Karolyi & Peter W. Kelly & Robert Stoumbos, 2022. "Earnings announcement return extrapolation," Review of Accounting Studies, Springer, vol. 27(1), pages 185-230, March.
    15. Archana Jain & Chinmay Jain & Christine X. Jiang, 2019. "Early Movers Advantage? Evidence from Short Selling during After‐Hours on Earnings Announcement Days," The Financial Review, Eastern Finance Association, vol. 54(2), pages 235-264, May.
    16. Akbas, Ferhat & Boehmer, Ekkehart & Jiang, Chao & Koch, Paul D., 2022. "Overnight returns, daytime reversals, and future stock returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 850-875.
    17. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
    18. Fernando Chague & Bruno Giovannetti & Bernardo Guimaraes, 2021. "The Contrarian Put," Discussion Papers 2106, Centre for Macroeconomics (CFM).
    19. Tao Chen, 2022. "Are individuals informed in global markets?," Empirical Economics, Springer, vol. 63(1), pages 243-263, July.
    20. Yun‐Huan Lee & Tzu‐Hsiang Liao & Hsiu‐Chuan Lee, 2022. "Overnight returns of industry exchange‐traded funds, investor sentiment, and futures market returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1114-1134, June.

    More about this item

    Keywords

    Retail Trade ; Institutional Trade ; Payment for Order Flow ; Liquidity ; Microstructure;
    All these keywords.

    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:wrk:warwec:1394. 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: Margaret Nash (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.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.