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Trading and information diffusion in OTC markets

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  • Kondor, Péter
  • Babus, Ana

Abstract

We model trading and information diffusion in OTC markets, when dealers can engage in many bilateral transactions at the same time. We show that information diffusion is effective, but not efficient. While each bilateral price partially reveals all dealers' private information after a single round of trading, dealers could learn more even within the constraints imposed by our environment. This is not a result of dealers' market power, but arises from the interaction between decentralization and differences in dealers' valuation of the asset. We apply our framework to confront several explanations for the disruption of OTC markets with stylized facts from the empirical literature. We find more support for narratives emphasizing increased counterparty risk as opposed to increased informational frictions.

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  • Kondor, Péter & Babus, Ana, 2013. "Trading and information diffusion in OTC markets," CEPR Discussion Papers 9271, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:9271
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    Cited by:

    1. Lester, Benjamin & Weill, Pierre-Olivier & Hugonnier, Julien, 2022. "Heterogeneity in decentralized asset markets," Theoretical Economics, Econometric Society, vol. 17(3), July.
    2. Shen, Ji & Wei, Bin & Yan, Hongjun, 2016. "Financial Intermediation Chains in an OTC Market," MPRA Paper 74925, University Library of Munich, Germany.
    3. Blasques, Francisco & Bräuning, Falk & Lelyveld, Iman van, 2018. "A dynamic network model of the unsecured interbank lending market," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 310-342.
    4. Giovannetti, Andrea & Pipic, Denis, 2023. "Shaking hands with common foes: Clique premium and information diffusion in private equity networks," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
    6. Richard Lowery & Tim Landvoigt, 2016. "Financial Industry Dynamics," 2016 Meeting Papers 1248, Society for Economic Dynamics.
    7. Takayama, Shino, 2021. "Price manipulation, dynamic informed trading, and the uniqueness of equilibrium in sequential trading," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    8. Zachary Bethune & Bruno Sultanum & Nicholas Trachter, 2018. "Inefficiency in a Simple Model of Production and Bilateral Trade," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 137-151.
    9. de Roure, Calebe & Mönch, Emanuel & Pelizzon, Loriana & Schneider, Michael, 2019. "OTC discount," Discussion Papers 42/2019, Deutsche Bundesbank.
      • de Roure, Calebe & Mönch, Emanuel & Pelizzon, Loriana & Schneider, Michael, 2021. "OTC discount," SAFE Working Paper Series 298, Leibniz Institute for Financial Research SAFE, revised 2021.
    10. Havran, Dániel & Erb, Tamás, 2015. "Mit veszítünk a piaci súrlódásokkal?. A pénzügyi piacok mikrostruktúrája [Trading mechanisms and market frictions. Microstructure of the financial markets]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-262.
    11. Ji Shen & Bin Wei & Hongjun Yan, 2021. "Financial Intermediation Chains in an Over-the-Counter Market," Management Science, INFORMS, vol. 67(7), pages 4623-4642, July.
    12. Julien Hugonnier & Benjamin Lester & Pierre-Olivier Weill, 2020. "Frictional Intermediation in Over-the-Counter Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(3), pages 1432-1469.
    13. Cenedese, Gino & Ranaldo, Angelo & Vasios, Michalis, 2020. "OTC premia," Journal of Financial Economics, Elsevier, vol. 136(1), pages 86-105.
    14. Pierre-Olivier Weill, 2020. "The search theory of OTC markets," NBER Working Papers 27354, National Bureau of Economic Research, Inc.
    15. Clerc, L. & Gabrieli, S. & Kern, S. & El Omari, Y., 2014. "Monitoring the European CDS Market through Networks: Implications for Contagion Risks," Working papers 477, Banque de France.
    16. Semih Üslü, 2019. "Pricing and Liquidity in Decentralized Asset Markets," Econometrica, Econometric Society, vol. 87(6), pages 2079-2140, November.
    17. Alvarez, Fernando & Barlevy, Gadi, 2021. "Mandatory disclosure and financial contagion," Journal of Economic Theory, Elsevier, vol. 194(C).
    18. Shino Takayama, 2018. "Price Manipulation, Dynamic Informed Trading and Tame Equilibria: Theory and Computation," Discussion Papers Series 603, School of Economics, University of Queensland, Australia.
    19. Blasques, Francisco & Bräuning, Falk & Lelyveld, Iman van, 2018. "A dynamic network model of the unsecured interbank lending market," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 310-342.
    20. Syngjoo Choi & Andrea Galeotti & Sanjeev Goyal, 2017. "Trading in Networks: Theory and Experiments," Journal of the European Economic Association, European Economic Association, vol. 15(4), pages 784-817.

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    More about this item

    Keywords

    Bilateral trading; Demand schedule equilibrium; Information aggregation; Networks; Over-the-counter markets;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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