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Information Sharing, Liquidity and Transaction Costs in Floor-based Trading Systems

Author

Listed:
  • Thierry Foucault

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Laurence Lescourret

Abstract

We consider information sharing between traders("floor brokers") who possess different types of information, namely information on the payoff of a risky security or information on the volume of liquidity trading in this security. We interpret these traders as dual -capacity brokers on the floor of an exchange. We identify conditions under which the traders are better off sharing information. We also show that information sharing improves price discovery, reduces volatility and lowers expected trading costs. Information sharing can improve or impair the depth of the market, depending on the values of the parameters. Overall our analysis suggests that information sharing among floor brokers improves the performance of floor-based trading systems.

Suggested Citation

  • Thierry Foucault & Laurence Lescourret, 2011. "Information Sharing, Liquidity and Transaction Costs in Floor-based Trading Systems," Working Papers hal-00597189, HAL.
    • Handle: RePEc:hal:wpaper:hal-00597189
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    Cited by:

    1. Goldstein, Itay & Xiong, Yan & Yang, Liyan, 2025. "Information sharing in financial markets," Journal of Financial Economics, Elsevier, vol. 163(C).
    2. Li, Wei-Xuan & Chen, Clara Chia-Sheng & Nguyen, James, 2022. "Which market dominates the price discovery in currency futures? The case of the Chicago Mercantile Exchange and the Intercontinental Exchange," Global Finance Journal, Elsevier, vol. 52(C).
    3. Laurence Lescourret, 2012. "Non-fundamental Information and Market-makers' Behavior during the NASDAQ Preopening Session," Working Papers hal-00772798, HAL.
    4. COLLA, Paolo, 2005. "A market microstructure rationale for the S&P game," LIDAM Discussion Papers CORE 2005008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Marmora, Paul & Rytchkov, Oleg, 2018. "Learning about noise," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 209-224.
    6. repec:hal:journl:hal-00772798 is not listed on IDEAS
    7. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
    8. Laurence Lescourret, 2017. "Cold Case File? Inventory Risk and Information Sharing during the pre†1997 NASDAQ," European Financial Management, European Financial Management Association, vol. 23(4), pages 761-806, September.
    9. Nabi, Mahmoud Sami & Ben Souissi, Souraya, 2011. "Could dishonest banks be disciplined ?," MPRA Paper 32010, University Library of Munich, Germany.

    More about this item

    Keywords

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    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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