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Trading and information diffusion in OTC markets

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  • Babus, Ana
  • Kondor, Peter

Abstract

We propose a model of trade in over-the-counter (OTC) markets in which each dealer with private information can engage in bilateral transactions with other dealers, as determined by her links in a network. Each dealer's strategy is represented as a quantity-price schedule. We analyze the effect of trade decentralization and adverse selection on information diffusion, expected profits, trading costs and welfare. Information diffusion through prices is not affected by dealers' strategic trading motives, and there is an informational externality that constrains the informativeness of prices. Trade decentralization can both increase or decrease welfare. A dealer's trading cost is driven by both her own and her counterparties' centrality. Central dealers tend to learn more, trade more at lower costs and earn higher expected profit

Suggested Citation

  • Babus, Ana & Kondor, Peter, 2018. "Trading and information diffusion in OTC markets," LSE Research Online Documents on Economics 88050, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:88050
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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

    information aggregation; bilateral trading; demand schedule equilibrium; tradingnetworks.;
    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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