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Clients' Connections: Measuring the Role of Private Information in Decentralized Markets

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  • PÉTER KONDOR
  • GÁBOR PINTÉR

Abstract

We propose a new measure of private information in decentralized markets—connections—which exploits the time variation in the number of dealers with whom a client trades in a time period. Using trade‐level data for the U.K. government bond market, we show that clients perform better when having more connections as their trades predict future price movements. Time variation in market‐wide connections also helps explain yield dynamics. Given our novel measure, we present two applications suggesting that (i) dealers pass on information, acquired from their informed clients, to their affiliates, and (ii) informed clients better predict the orderflow intermediated by their dealers.

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  • Péter Kondor & Gábor Pintér, 2022. "Clients' Connections: Measuring the Role of Private Information in Decentralized Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 505-544, February.
    • Handle: RePEc:bla:jfinan:v:77:y:2022:i:1:p:505-544
    DOI: 10.1111/jofi.13087
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    Cited by:

    1. Czech, Robert & Huang, Shiyang & Lou, Dong & Wang, Tianyu, 2021. "Informed trading in government bond markets," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1253-1274.
    2. Jason Allen & Milena Wittwer, 2023. "Centralizing Over-the-Counter Markets?," Journal of Political Economy, University of Chicago Press, vol. 131(12), pages 3310-3351.
    3. Péter Kondor & Gábor Pintér, 2022. "Clients' Connections: Measuring the Role of Private Information in Decentralized Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 505-544, February.
    4. Pinter, Gabor & Uslu, Semih, 2022. "Comparing search and intermediation frictions across markets," Bank of England working papers 974, Bank of England.
    5. Gábor Pintér & Chaojun Wang & Junyuan Zou, 2021. "Size Discount and Size Penalty Trading Costs in Bond Markets," Discussion Papers 2114, Centre for Macroeconomics (CFM).
    6. Pintér, Gábor & Wang, Chaojun & Zou, Junyuan, 2022. "Information chasing versus adverse selection," Bank of England working papers 971, Bank of England.
    7. Di Gangi, Domenico & Lazarov, Vladimir & Mankodi, Aakash & Silvestri, Laura, 2022. "Links between government bond and futures markets: dealer-client relationships and price discovery in the UK," Bank of England working papers 991, Bank of England.
    8. Czech, Robert & Pintér, Gábor, 2020. "Informed trading and the dynamics of client-dealer connections in corporate bond markets," Bank of England working papers 895, Bank of England, revised 20 Jan 2022.
    9. Chao Ying, 2020. "The Pre-FOMC Announcement Drift and Private Information: Kyle Meets Macro-Finance," 2020 Papers pyi149, Job Market Papers.
    10. Simon Jurkatis & Andreas Schrimpf & Karamfil Todorov & Nicholas Vause, 2023. "Relationship discounts incorporate bond trading," BIS Working Papers 1140, Bank for International Settlements.
    11. Lou, Dong, 2020. "Informed Trading in Government Bond Markets," CEPR Discussion Papers 15028, C.E.P.R. Discussion Papers.
    12. Barria, Rodrigo & Pinter, Gabor, 2023. "Mispricing in inflation markets," Bank of England working papers 1034, Bank of England.

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    More about this item

    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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