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Dealer Networks

Author

Listed:
  • Dan LI

    (Federal Reserve Board)

  • Norman SCHUERHOFF

    (University of Lausanne and Swiss Finance Institute and CEPR)

Abstract

Dealers in over-the-counter securities form networks to mitigate search frictions. The audit trail for municipal bonds shows the dealer network has a core-periphery structure. Central dealers are more efficient at matching buyers and sellers than peripheral dealers, which shortens intermediation chains and speeds up trading. Investors face a tradeoff between execution speed and cost. Central dealers provide immediacy by pre-arranging fewer trades and holding larger inventory. However, trading costs increase strongly with dealer centrality. Investors with strong liquidity need trade with central dealers and at times of market-wide illiquidity. Central dealers thus serve as liquidity providers of last resort.

Suggested Citation

  • Dan LI & Norman SCHUERHOFF, 2014. "Dealer Networks," Swiss Finance Institute Research Paper Series 14-50, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp1450
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    References listed on IDEAS

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    Citations

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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. 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.).
    3. 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.
    4. 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.
    5. 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.
    6. Teruyoshi Kobayashi & Taro Takaguchi, 2017. "Significant ties: Identifying relationship lending in temporal interbank networks," Discussion Papers 1717, Graduate School of Economics, Kobe University.
    7. de Roure, Calebe, 2016. "Fire buys of central bank collateral assets," Discussion Papers 51/2016, Deutsche Bundesbank.
    8. 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.
    9. Babus, Ana & Hu, Tai-Wei, 2017. "Endogenous intermediation in over-the-counter markets," Journal of Financial Economics, Elsevier, vol. 125(1), pages 200-215.
    10. 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.
    11. Song, Zhaogang & Zhu, Haoxiang, 2018. "Quantitative easing auctions of Treasury bonds," Journal of Financial Economics, Elsevier, vol. 128(1), pages 103-124.

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    More about this item

    Keywords

    Municipal bonds; over-the-counter financial market; trading cost; liquidity; immediacy; transparency; decentralization; market quality; network analysis;
    All these keywords.

    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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