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Equity trading and the allocation of market data revenue

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  • Caglio, Cecilia
  • Mayhew, Stewart

Abstract

Revenues generated from the sales of consolidated data represent a substantial source of income for U.S. stock exchanges. Until 2007, consolidated data revenue allocated in proportion to the number of reported trades. This allocation rule encouraged market participants to break up large trades and execute them in multiple pieces. Exchanges devised revenue-sharing and rebate programs that rewarded order-flow providers, and encouraged algorithmic traders to execute strategies involving large numbers of small trades. We provide evidence that data revenue allocation influenced the trading process, by examining trading activity surrounding various events that changed the marginal data revenue per trade.

Suggested Citation

  • Caglio, Cecilia & Mayhew, Stewart, 2016. "Equity trading and the allocation of market data revenue," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 97-111.
    • Handle: RePEc:eee:jbfina:v:62:y:2016:i:c:p:97-111
    DOI: 10.1016/j.jbankfin.2015.10.002
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    Cited by:

    1. Kyle, Albert S. & Obizhaeva, Anna A. & Tuzun, Tugkan, 2020. "Microstructure invariance in U.S. stock market trades," Journal of Financial Markets, Elsevier, vol. 49(C).
    2. Foucault, Thierry & Cespa, Giovanni, 2008. "Insiders-outsiders, transparency and the value of the ticker," HEC Research Papers Series 892, HEC Paris.
    3. Albert S. Kyle & Anna Obizhaeva & Tugkan Tuzun, 2016. "Microstructure Invariance in U.S. Stock Market Trades," Working Papers w0230, Center for Economic and Financial Research (CEFIR).
    4. Stephen N. Jurich, 2020. "Size Precedence And Share Volume: The Case Of The Psx Exchange," Journal of Financial Management, Markets and Institutions (JFMMI), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-28, December.
    5. Foucault, Thierry & Cespa, Giovanni, 2008. "Insiders-outsiders, transparency and the value of the ticker," HEC Research Papers Series 892, HEC Paris.
    6. Upson, James & McInish, Thomas & IV, B. Hardy Johnson, 2021. "Order based versus level book trade reporting: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 125(C).
    7. Liu, Tengdong & Zheng, Dazhi & Zheng, Suyan & Lu, Yang, 2023. "Herding in Chinese stock markets: Evidence from the dual-investor-group," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    8. Albert S. Kyle & Anna Obizhaeva & Tugkan Tuzun, 2016. "Microstructure Invariance in U.S. Stock Market Trades," Working Papers w0230, New Economic School (NES).
    9. Giovanni Petrella, 2010. "MiFID, Reg NMS and competition across trading venues in Europe and the USA," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 18(3), pages 257-271, July.

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    More about this item

    Keywords

    Market data revenue; Stock exchanges; Brokers;
    All these keywords.

    JEL classification:

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

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