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Reputation-based pricing and price improvements in dealership markets

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)

  • Gabriel Desgranges

Abstract

Dealers often offer price improvements, relative to posted quotes, to their clients. In this paper, wepropose an explanation to this practice. We also analyze its effects on market liquidity and traders' welfare.Enduring relationships allow dealers to avoid informed trades by offering price improvements to clients who do not trade with the dealer when they are informed. A dealer never observes whether a specific client is informed or not but he can avoid informed orders by conditioning his offers on past trading profits. Cream-skimming of uninformed order-flow increases the risk of informed trading for dealers without a relationship. Thus, authorizing price improvements increases bid-ask spreads and impairs the welfare of investors without a relationship. It may even decrease the welfare of investors who develop a relationship as they sometimes need to trade at posted quotes. The model predicts a positive relationship between (a) the price improvements granted to a specific investor and past trading profits with this investor or (b) the frequency of price improvements and bid-ask spreads

Suggested Citation

  • Thierry Foucault & Gabriel Desgranges, 2005. "Reputation-based pricing and price improvements in dealership markets," Post-Print halshs-00006428, HAL.
  • Handle: RePEc:hal:journl:halshs-00006428
    DOI: 10.1016/j.jeconbus.2005.09.001
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    Cited by:

    1. Battalio, Robert & Ellul, Andrew & Jennings, Robert, 2005. "Reputation effects in trading on the New York Stock Exchange," LSE Research Online Documents on Economics 24659, London School of Economics and Political Science, LSE Library.
    2. Hörner, Johannes & Lovo, Stefano & Tomala, Tristan, 2018. "Belief-free price formation," Journal of Financial Economics, Elsevier, vol. 127(2), pages 342-365.
    3. Degryse, H.A., 2007. "Competition on financial markets : Does market design matter?," Other publications TiSEM ee5530b2-34f7-4d95-ad62-f, Tilburg University, School of Economics and Management.
    4. Kaun Y. Lee & Kee H. Chung, 2009. "Information‐Based Trading and Price Improvement," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(5‐6), pages 754-773, June.
    5. Pierre Collin‐Dufresne & Benjamin Junge & Anders B. Trolle, 2020. "Market Structure and Transaction Costs of Index CDSs," Journal of Finance, American Finance Association, vol. 75(5), pages 2719-2763, October.
    6. Theissen, Erik, 2003. "Organized equity markets in Germany," CFS Working Paper Series 2003/17, Center for Financial Studies (CFS).
    7. He, Yinghua & Nielsson, Ulf & Guo, Hong & Yang, Jiong, 2014. "Subscribing to transparency," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 189-206.
    8. Asaf Bernstein & Eric Hughson & Marc D. Weidenmier, 2014. "Counterparty Risk and the Establishment of the New York Stock Exchange Clearinghouse," NBER Working Papers 20459, National Bureau of Economic Research, Inc.
    9. Pierre Collin-Dufresne & Benjamin Junge & Anders B. Trolle, 2018. "Market Structure and Transaction Costs of Index CDSs," Swiss Finance Institute Research Paper Series 18-40, Swiss Finance Institute.

    More about this item

    Keywords

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    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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