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The behavior of dealers and clients on the European corporate bond market: the case of Multi-Dealer-to-Client platforms

Author

Listed:
  • Jean-David Fermanian

    (CREST - Centre de Recherche en Economie et en Statistique - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique)

  • Olivier Guéant

    (ENSAE - Ecole Nationale de la Statistique et de l'Analyse Economique - Ecole Nationale de la Statistique et de l'Analyse Economique, CREST - Centre de Recherche en Economie et en Statistique - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique)

  • Jiang Pu

    (LPMA - Laboratoire de Probabilités et Modèles Aléatoires - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

Abstract

For the last two decades, most financial markets have undergone an evolution toward electronification. The market for corporate bonds is one of the last major financial markets to follow this unavoidable path. Traditionally quote-driven (i.e., dealer-driven) rather than order-driven, the market for corporate bonds is still mainly dominated by voice trading, but a lot of electronic platforms have emerged. These electronic platforms make it possible for buy-side agents to simultaneously request several dealers for quotes, or even directly trade with other buy-siders. The research presented in this article is based on a large proprietary database of requests for quotes (RFQ) sent, through the multi-dealer-to-client (MD2C) platform operated by Bloomberg Fixed Income Trading, to one of the major liquidity providers in European corporate bonds. Our goal is (i) to model the RFQ process on these platforms and the resulting competition between dealers, and (ii) to use our model in order to implicit from the RFQ database the behavior of both dealers and clients on MD2C platforms.

Suggested Citation

  • Jean-David Fermanian & Olivier Guéant & Jiang Pu, 2016. "The behavior of dealers and clients on the European corporate bond market: the case of Multi-Dealer-to-Client platforms," Working Papers hal-01393134, HAL.
    • Handle: RePEc:hal:wpaper:hal-01393134
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    Cited by:

    1. Gündüz, Yalin & Ottonello, Giorgio & Pelizzon, Loriana & Schneider, Michael & Subrahmanyam, Marti G., 2018. "Lighting up the dark: Liquidity in the German corporate bond market," SAFE Working Paper Series 230, Leibniz Institute for Financial Research SAFE.
    2. Riggs, Lynn & Onur, Esen & Reiffen, David & Zhu, Haoxiang, 2020. "Swap trading after Dodd-Frank: Evidence from index CDS," Journal of Financial Economics, Elsevier, vol. 137(3), pages 857-886.
    3. Sarah Auster & Piero Gottardi & Ronald Wolthoff, 2022. "Simultaneous Search and Adverse Selection," Working Papers tecipa-734, University of Toronto, Department of Economics.
    4. Xin Guo & Charles-Albert Lehalle & Renyuan Xu, 2022. "Transaction cost analytics for corporate bonds," Quantitative Finance, Taylor & Francis Journals, vol. 22(7), pages 1295-1319, July.
    5. Pierre-Olivier Weill, 2020. "The search theory of OTC markets," NBER Working Papers 27354, National Bureau of Economic Research, Inc.
    6. Olivier Gu'eant & Jiang Pu, 2018. "Mid-price estimation for European corporate bonds: a particle filtering approach," Papers 1810.05884, arXiv.org, revised Mar 2019.

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