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Institutional Order Handling and Broker-Affiliated Trading Venues
[Performance of institutional trading desks: An analysis of persistence in trading costs]

Author

Listed:
  • Amber Anand
  • Mehrdad Samadi
  • Jonathan Sokobin
  • Kumar Venkataraman

Abstract

Using detailed order handling data, we find that institutional brokers who route more orders to affiliated alternative trading systems (ATSs) are associated with lower execution quality (i.e., lower fill rates and higher implementation shortfall costs). To separate clients’ preference for ATSs from brokers’ routing decisions, we confirm these results for orders where brokers have more order handling discretion, matched broker analysis that accounts for ATS usage, matched child orders that account for client intent, and based on an exogenous constraint on ATS venue choice. Our results suggest that increased transparency of order routing practices will improve execution quality.

Suggested Citation

  • 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]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3364-3402.
  • Handle: RePEc:oup:rfinst:v:34:y:2021:i:7:p:3364-3402.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhab004
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    Citations

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    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. Li, Sida & Ye, Mao & Zheng, Miles, 2023. "Refusing the best price?," Journal of Financial Economics, Elsevier, vol. 147(2), pages 317-337.
    3. Bayona, Anna & Dumitrescu, Ariadna & Manzano, Carolina, 2023. "Information and optimal trading strategies with dark pools," Economic Modelling, Elsevier, vol. 126(C).
    4. Li, Ang & Liu, Mark & Sheather, Simon, 2023. "Predicting stock splits using ensemble machine learning and SMOTE oversampling," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    5. Neumeier, Christian & Gozluklu, Arie & Hoffmann, Peter & O’Neill, Peter & Suntheim, Felix, 2023. "Banning dark pools: Venue selection and investor trading costs," Journal of Financial Markets, Elsevier, vol. 65(C).
    6. Li, Xiongshi & Ye, Mao & Zheng, Miles, 2024. "Price ceilings, market structure, and payout policies," Journal of Financial Economics, Elsevier, vol. 155(C).
    7. 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.
    8. Brauneis, Alexander & Mestel, Roland & Riordan, Ryan & Theissen, Erik, 2022. "The anatomy of a fee change — evidence from cryptocurrency markets," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 152-167.
    9. Rainer Haselmann & Christian Leuz & Sebastian Schreiber, 2022. "Know Your Customer: Informed Trading by Banks," NBER Working Papers 30521, National Bureau of Economic Research, Inc.
    10. Hendershott, Terrence & Wee, Marvin & Wen, Yuanji, 2022. "Transparency in fragmented markets: Experimental evidence," Journal of Financial Markets, Elsevier, vol. 59(PA).
    11. Yu An & Zeyu Zheng, 2023. "Immediacy Provision and Matchmaking," Management Science, INFORMS, vol. 69(2), pages 1245-1263, February.
    12. Markus Baldauf & Christoph Frei & Joshua Mollner, 2022. "Principal Trading Arrangements: When Are Common Contracts Optimal?," Management Science, INFORMS, vol. 68(4), pages 3112-3128, April.
    13. Brauneis, Alexander & Mestel, Roland & Riordan, Ryan & Theissen, Erik, 2022. "Bitcoin unchained: Determinants of cryptocurrency exchange liquidity," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 106-122.
    14. O’Donoghue, Shawn M., 2022. "Transaction fees: Impact on institutional order types, commissions, and execution quality," Journal of Financial Markets, Elsevier, vol. 60(C).
    15. 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.

    More about this item

    Keywords

    G10; G20;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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