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Institutional Order Handling and Broker-Affiliated Trading Venues

In: Big Data: Long-Term Implications for Financial Markets and Firms

Author

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

Abstract

No abstract is available for this item.

Suggested Citation

  • Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3364-3402, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14603
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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. Rainer Haselmann & Christian Leuz & Sebastian Schreiber, 2022. "Know Your Customer: Informed Trading by Banks," NBER Working Papers 30521, National Bureau of Economic Research, Inc.
    3. Yu An & Zeyu Zheng, 2023. "Immediacy Provision and Matchmaking," Management Science, INFORMS, vol. 69(2), pages 1245-1263, February.
    4. 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.
    5. 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.
    6. Li, Sida & Ye, Mao & Zheng, Miles, 2023. "Refusing the best price?," Journal of Financial Economics, Elsevier, vol. 147(2), pages 317-337.
    7. Bayona, Anna & Dumitrescu, Ariadna & Manzano, Carolina, 2023. "Information and optimal trading strategies with dark pools," Economic Modelling, Elsevier, vol. 126(C).
    8. 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).
    9. O’Donoghue, Shawn M., 2022. "Transaction fees: Impact on institutional order types, commissions, and execution quality," Journal of Financial Markets, Elsevier, vol. 60(C).
    10. 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).
    11. Li, Xiongshi & Ye, Mao & Zheng, Miles, 2024. "Price ceilings, market structure, and payout policies," Journal of Financial Economics, Elsevier, vol. 155(C).
    12. 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.
    13. 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.
    14. 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

    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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