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Sale of Price Information by Exchanges: Does It Promote Price Discovery?

Author

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  • Giovanni Cespa

    (Cass Business School, City University London, London EC1Y 8TZ, United Kingdom)

  • Thierry Foucault

    (HEC Paris, 78351 Jouy en Josas Cedex, France)

Abstract

Exchanges sell both trading services and price information. We study how the joint pricing of these products affects price discovery and the distribution of gains from trade in an asset market. A wider dissemination of price information reduces pricing errors and the transfer from liquidity traders to speculators. This effect reduces the fee that speculators are willing to pay for trading. Therefore, to raise its revenue from trading, a for-profit exchange optimally charges a high fee for price information so that only a fraction of speculators buy this information. As a result, price discovery is not as efficient as it would be with free price information. This problem is less severe if the exchange must compensate liquidity traders for a fraction of their losses. This paper was accepted by Wei Xiong, finance.

Suggested Citation

  • Giovanni Cespa & Thierry Foucault, 2014. "Sale of Price Information by Exchanges: Does It Promote Price Discovery?," Management Science, INFORMS, vol. 60(1), pages 148-165, January.
  • Handle: RePEc:inm:ormnsc:v:60:y:2014:i:1:p:148-165
    DOI: 10.1287/mnsc.2013.1735
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    References listed on IDEAS

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    Cited by:

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    2. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    3. Jean-Edouard Colliard, 2017. "Catching Falling Knives: Speculating on Liquidity Shocks," Management Science, INFORMS, vol. 63(8), pages 2573-2591, August.
    4. Murray, Hamish & Pham, Thu Phuong & Singh, Harminder, 2016. "Latency reduction and market quality: The case of the Australian Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 257-265.
    5. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    6. Chen, Xingjiang & Ruan, Xinfeng & Zhang, Wenjun, 2021. "Dynamic portfolio choice and information trading with recursive utility," Economic Modelling, Elsevier, vol. 98(C), pages 154-167.
    7. 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.
    8. Hans Degryse & Mark Van Achter & Gunther Wuyts, 2022. "Plumbing of Securities Markets: The Impact of Post-trade Fees on Trading and Welfare," Management Science, INFORMS, vol. 68(1), pages 635-653, January.
    9. Bruno Biais & Thierry Foucault, 2014. "HFT and Market Quality," Bankers, Markets & Investors, ESKA Publishing, issue 128, pages 5-19, January-F.
    10. Alex Frino & Ognjen Kovačević & Vito Mollica & Robert I. Webb, 2020. "The sensitivity of trading to the cost of information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1631-1644, October.

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