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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

    (ENSAE-CREST)

  • Olivier Guéant

    (ENSAE-CREST)

  • Jiang Pu

    (LPMA, Université Paris-Diderot)

Abstract

For the last two decades, most nancial markets have undergone an evolution toward electroni cation. The market for corporate bonds is one of the last ma jor nancial 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 ma jor 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 2016-34, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2016-34
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    Cited by:

    1. Adel Javanmard & Jingwei Ji & Renyuan Xu, 2024. "Multi-Task Dynamic Pricing in Credit Market with Contextual Information," Papers 2410.14839, arXiv.org, revised Oct 2024.
    2. 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.
    3. Sarah Auster & Piero Gottardi & Ronald Wolthoff, 2022. "Simultaneous Search and Adverse Selection," Working Papers tecipa-734, University of Toronto, Department of Economics.
    4. Pierre-Olivier Weill, 2020. "The search theory of OTC markets," NBER Working Papers 27354, National Bureau of Economic Research, Inc.
    5. 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.
    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.
    7. 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.

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