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Trading and information diffusion in OTC markets

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  • Babus, Ana
  • Kondor, Péter

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.

Suggested Citation

  • Babus, Ana & Kondor, Péter, 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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    References listed on IDEAS

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    1. Dimitri Vayanos & Pierre-Olivier Weill, 2008. "A Search-Based Theory of the On-the-Run Phenomenon," Journal of Finance, American Finance Association, vol. 63(3), pages 1361-1398, June.
    2. Xavier Vives, 2011. "Strategic Supply Function Competition With Private Information," Econometrica, Econometric Society, vol. 79(6), pages 1919-1966, November.
    3. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," Review of Economic Studies, Oxford University Press, vol. 56(3), pages 317-355.
    4. Friewald, Nils & Jankowitsch, Rainer & Subrahmanyam, Marti G., 2012. "Illiquidity or credit deterioration: A study of liquidity in the US corporate bond market during financial crises," Journal of Financial Economics, Elsevier, vol. 105(1), pages 18-36.
    5. Agarwal, Sumit & Chang, Yan & Yavas, Abdullah, 2012. "Adverse selection in mortgage securitization," Journal of Financial Economics, Elsevier, vol. 105(3), pages 640-660.
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    Citations

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    Cited by:

    1. Francisco Blasques & Falk Bräuning & Iman van Lelyveld, 2015. "A dynamic network model of the unsecured interbank lending market," BIS Working Papers 491, Bank for International Settlements.
    2. Julien HUGONNIER & Benjamin LESTER & Pierre-Olivier WEILL, "undated". "Heterogeneity in Decentralized Asset Markets," Swiss Finance Institute Research Paper Series 14-67, Swiss Finance Institute.
    3. 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.
    4. 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.
    5. Alvarez, Fernando & Barlevy, Gadi, 2014. "Mandatory Disclosure and Financial Contagion," Working Paper Series WP-2014-4, Federal Reserve Bank of Chicago.
    6. repec:oup:jeurec:v:15:y:2017:i:4:p:784-817. is not listed on IDEAS
    7. Kok, Christoffer & Hałaj, Grzegorz, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
    8. 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.

    More about this item

    Keywords

    bilateral trading; demand schedule equilibrium; information aggregation; networks; over-the-counter markets;

    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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