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Dealer Networks

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  • DAN LI
  • NORMAN SCHÜRHOFF

Abstract

Dealers in the over‐the‐counter municipal bond market form trading networks with other dealers to mitigate search frictions. Regulatory data show that this network has a core‐periphery structure with 10 to 30 hubs and over 2,000 peripheral broker‐dealers in which bonds flow from periphery to core and partially back. Central dealers charge investors up to double the round‐trip markups compared to peripheral dealers. In turn, central dealers provide immediacy by matching buyers with sellers more directly and prearranging fewer trades, especially during stress times. Investors thus face a trade‐off between execution cost and speed, consistent with network models of decentralized trade.

Suggested Citation

  • Dan Li & Norman Schürhoff, 2019. "Dealer Networks," Journal of Finance, American Finance Association, vol. 74(1), pages 91-144, February.
    • Handle: RePEc:bla:jfinan:v:74:y:2019:i:1:p:91-144
    DOI: 10.1111/jofi.12728
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    Cited by:

    1. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    2. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2015. "A network-based analysis of the European Emission Market," Documents de travail du Centre d'Economie de la Sorbonne 15084, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Kobayashi, Teruyoshi & Takaguchi, Taro, 2018. "Identifying relationship lending in the interbank market: A network approach," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 20-36.
    4. Song Han & Kleopatra Nikolaou, 2016. "Trading Relationships in the OTC Market for Secured Claims : Evidence from Triparty Repos," Finance and Economics Discussion Series 2016-064, Board of Governors of the Federal Reserve System (U.S.).
    5. D’Errico, Marco & Battiston, Stefano & Peltonen, Tuomas & Scheicher, Martin, 2018. "How does risk flow in the credit default swap market?," Journal of Financial Stability, Elsevier, vol. 35(C), pages 53-74.
    6. Gofman, Michael, 2017. "Efficiency and stability of a financial architecture with too-interconnected-to-fail institutions," Journal of Financial Economics, Elsevier, vol. 124(1), pages 113-146.
    7. Babus, Ana & Hu, Tai-Wei, 2017. "Endogenous intermediation in over-the-counter markets," Journal of Financial Economics, Elsevier, vol. 125(1), pages 200-215.
    8. Marco Di Maggio & Amir Kermani & Zhaogang Song, 2016. "The Value of Trading Relationships in Turbulent Times," NBER Working Papers 22332, National Bureau of Economic Research, Inc.
    9. Song, Zhaogang & Zhu, Haoxiang, 2018. "Quantitative easing auctions of Treasury bonds," Journal of Financial Economics, Elsevier, vol. 128(1), pages 103-124.
    10. Teruyoshi Kobayashi & Taro Takaguchi, 2017. "Significant ties: Identifying relationship lending in temporal interbank networks," Discussion Papers 1717, Graduate School of Economics, Kobe University.
    11. de Roure, Calebe, 2016. "Fire buys of central bank collateral assets," Discussion Papers 51/2016, Deutsche Bundesbank.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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