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Taking Orders and Taking Notes: Dealer Information Sharing in Treasury Markets

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  • Veldkamp, Laura
  • Boyarchenko, Nina
  • Lucca, David

Abstract

The use of order flow information by financial firms has come to the forefront of the regulatory debate. A central question is: Should a dealer who acquires information by taking client orders be allowed to use or share that information? We explore how information sharing affects dealers, clients and issuer revenues in U.S. Treasury auctions. Because one cannot observe alternative information regimes, we build a model, calibrate it to auction results data, and use it to quantify counter-factuals. We estimate that yearly auction revenues would be $2.4 billion higher with full-information sharing with clients and between dealers. When information sharing enables collusion, the collusion costs revenue; but if dealers share information with clients, prohibiting information sharing may cost more. For investors, the welfare effects of information sharing depend on how information is shared. The model shows that investors can benefit when dealers share information with each other, not when they share more with clients.

Suggested Citation

  • Veldkamp, Laura & Boyarchenko, Nina & Lucca, David, 2016. "Taking Orders and Taking Notes: Dealer Information Sharing in Treasury Markets," CEPR Discussion Papers 11518, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:11518
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    Cited by:

    1. Babus, Ana & Parlatore, Cecilia, 2022. "Strategic fragmented markets," Journal of Financial Economics, Elsevier, vol. 145(3), pages 876-908.
    2. Sigaux, Jean-David, 2018. "Trading ahead of treasury auctions," Working Paper Series 2208, European Central Bank.
    3. Marco Di Maggio & Francesco Franzoni & Amir Kermani & Carlo Sommavilla, 2017. "The Relevance of Broker Networks for Information Diffusion in the Stock Market," NBER Working Papers 23522, National Bureau of Economic Research, Inc.
    4. Beetsma, Roel & Giuliodori, Massimo & Hanson, Jesper & de Jong, Frank, 2018. "Bid-to-cover and yield changes around public debt auctions in the euro area," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 118-134.
    5. Beetsma, Roel & Giuliodori, Massimo & Hanson, Jesper & de Jong, Frank, 2020. "Determinants of the bid-to-cover ratio in Eurozone sovereign debt auctions," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 96-120.
    6. Ali Hortaçsu & Jakub Kastl & Allen Zhang, 2018. "Bid Shading and Bidder Surplus in the US Treasury Auction System," American Economic Review, American Economic Association, vol. 108(1), pages 147-169, January.
    7. Lou, Youcheng & Parsa, Sahar & Ray, Debraj & Li, Duan & Wang, Shouyang, 2019. "Information aggregation in a financial market with general signal structure," Journal of Economic Theory, Elsevier, vol. 183(C), pages 594-624.
    8. Glode, Vincent & Opp, Christian C. & Zhang, Xingtan, 2018. "Voluntary disclosure in bilateral transactions," Journal of Economic Theory, Elsevier, vol. 175(C), pages 652-688.

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    More about this item

    Keywords

    Treasury; Auctions; Asymmetric information; Financial intermediation;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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