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

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  • Kondor, Péter
  • Pinter, Gabor
Abstract
We propose a new measure of private information in decentralised markets -- connections -- defined as the number of dealers with whom a client trades in a time period. Using proprietary data for the UK government bond market, we show that clients have systematically better performance when having more connections, and this effect is stronger during macroeconomic announcements. 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 subsidiaries, and (ii) informed clients better predict the order-flow intermediated by their dealers.

Suggested Citation

  • Kondor, Péter & Pinter, Gabor, 2019. "Clients' Connections: Measuring the Role of Private Information in Decentralised Markets," CEPR Discussion Papers 13880, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:13880
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    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    2. Maggio, Marco Di & Franzoni, Francesco & Kermani, Amir & Sommavilla, Carlo, 2019. "The relevance of broker networks for information diffusion in the stock market," Journal of Financial Economics, Elsevier, vol. 134(2), pages 419-446.
    3. Eric T. Swanson & John C. Williams, 2014. "Measuring the Effect of the Zero Lower Bound on Medium- and Longer-Term Interest Rates," American Economic Review, American Economic Association, vol. 104(10), pages 3154-3185, October.
    4. Choi, Jin Hyuk & Larsen, Kasper & Seppi, Duane J., 2019. "Information and trading targets in a dynamic market equilibrium," Journal of Financial Economics, Elsevier, vol. 132(3), pages 22-49.
    5. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    6. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    7. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    8. Darrell Duffie & Semyon Malamud & Gustavo Manso, 2009. "Information Percolation With Equilibrium Search Dynamics," Econometrica, Econometric Society, vol. 77(5), pages 1513-1574, September.
    9. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    10. Nicolae Gârleanu & Lasse Heje Pedersen, 2013. "Dynamic Trading with Predictable Returns and Transaction Costs," Journal of Finance, American Finance Association, vol. 68(6), pages 2309-2340, December.
    11. 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.
    12. Jankowitsch, Rainer & Nashikkar, Amrut & Subrahmanyam, Marti G., 2011. "Price dispersion in OTC markets: A new measure of liquidity," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 343-357, February.
    13. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    14. Meulbroek, Lisa K, 1992. "An Empirical Analysis of Illegal Insider Trading," Journal of Finance, American Finance Association, vol. 47(5), pages 1661-1699, December.
    15. Eguren-Martin, Fernando & McLaren, Nick, 2015. "How much do UK market interest rates respond to macroeconomic data news?," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 259-272.
    16. Marcin Kacperczyk & Emiliano S Pagnotta, 2019. "Chasing Private Information," The Review of Financial Studies, Society for Financial Studies, vol. 32(12), pages 4997-5047.
    17. Travis L. Johnson & Eric C. So, 2018. "A Simple Multimarket Measure of Information Asymmetry," Management Science, INFORMS, vol. 64(3), pages 1055-1080, March.
    18. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    19. Mikhail Golosov & Guido Lorenzoni & Aleh Tsyvinski, 2014. "Decentralized Trading With Private Information," Econometrica, Econometric Society, vol. 82(3), pages 1055-1091, May.
    20. repec:bla:jfinan:v:59:y:2004:i:3:p:1235-1258 is not listed on IDEAS
    21. repec:bla:jfinan:v:59:y:2004:i:3:p:1201-1234 is not listed on IDEAS
    22. Alex Boulatov & Terrence Hendershott & Dmitry Livdan, 2013. "Informed Trading and Portfolio Returns," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 35-72.
    23. Hendershott, Terrence & Livdan, Dmitry & Schürhoff, Norman, 2015. "Are institutions informed about news?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 249-287.
    24. 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.
    25. Lauren Cohen & Christopher Malloy & Lukasz Pomorski, 2012. "Decoding Inside Information," Journal of Finance, American Finance Association, vol. 67(3), pages 1009-1043, June.
    26. Ali Hortaçsu & Jakub Kastl, 2012. "Valuing Dealers' Informational Advantage: A Study of Canadian Treasury Auctions," Econometrica, Econometric Society, vol. 80(6), pages 2511-2542, November.
    27. Pierre Collin-Dufresne & Vyacheslav Fos, 2015. "Do Prices Reveal the Presence of Informed Trading?," Journal of Finance, American Finance Association, vol. 70(4), pages 1555-1582, August.
    28. Andrea Barbon & Marco Di Maggio & Francesco Franzoni & Augustin Landier, 2019. "Brokers and Order Flow Leakage: Evidence from Fire Sales," Journal of Finance, American Finance Association, vol. 74(6), pages 2707-2749, December.
    29. Merrick, John Jr & Naik, Narayan Y. & Yadav, Pradeep K., 2005. "Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze," Journal of Financial Economics, Elsevier, vol. 77(1), pages 171-218, July.
    30. repec:bla:jfinan:v:59:y:2004:i:6:p:2623-2654 is not listed on IDEAS
    31. Roll, Richard & Schwartz, Eduardo & Subrahmanyam, Avanidhar, 2010. "O/S: The relative trading activity in options and stock," Journal of Financial Economics, Elsevier, vol. 96(1), pages 1-17, April.
    32. O’Hara, Maureen, 2015. "High frequency market microstructure," Journal of Financial Economics, Elsevier, vol. 116(2), pages 257-270.
    33. 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.
    34. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    35. Valseth, Siri, 2013. "Price discovery in government bond markets," Journal of Financial Markets, Elsevier, vol. 16(1), pages 127-151.
    36. Gabrieli, Silvia & Georg, Co-Pierre, 2014. "A network view on interbank market freezes," Discussion Papers 44/2014, Deutsche Bundesbank.
    37. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    38. Di Maggio, Marco & Kermani, Amir & Song, Zhaogang, 2017. "The value of trading relations in turbulent times," Journal of Financial Economics, Elsevier, vol. 124(2), pages 266-284.
    39. Pierre Collin-Dufresne & Vyacheslav Fos, 2013. "Do Prices Reveal the Presence of Informed Trading?," Swiss Finance Institute Research Paper Series 13-69, Swiss Finance Institute, revised Sep 2015.
    40. Björn Hagströmer & Albert J. Menkveld, 2019. "Information Revelation in Decentralized Markets," Journal of Finance, American Finance Association, vol. 74(6), pages 2751-2787, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jason Allen & Ali Hortaçsu & Eric Richert & Milena Wittwer, 2024. "Entry and Exit in Treasury Auctions," Staff Working Papers 24-29, Bank of Canada.
    2. 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.
    3. Jason Allen & Milena Wittwer, 2023. "Centralizing Over-the-Counter Markets?," Journal of Political Economy, University of Chicago Press, vol. 131(12), pages 3310-3351.
    4. Gabor Pinter & Chaojun Wang & Junyuan Zou, 2024. "Size Discount and Size Penalty: Trading Costs in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2156-2190.
    5. 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.
    6. Pinter, Gabor & Uslu, Semih, 2022. "Comparing search and intermediation frictions across markets," Bank of England working papers 974, Bank of England.
    7. Pintér, Gábor & Wang, Chaojun & Zou, Junyuan, 2022. "Information chasing versus adverse selection," Bank of England working papers 971, Bank of England.
    8. 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.
    9. 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.
    10. Chao Ying, 2020. "The Pre-FOMC Announcement Drift and Private Information: Kyle Meets Macro-Finance," 2020 Papers pyi149, Job Market Papers.
    11. Bidder, Rhys & Coen, Jamie & Lepore, Caterina & Silvestri, Laura, 2024. "Whose asset sales matter?," Bank of England working papers 1088, Bank of England.
    12. Di Maggio, Marco & Franzoni, Francesco & Massa, Massimo & Tubaldi, Roberto, 2024. "Strategic trading as a response to short sellers," Journal of Financial Markets, Elsevier, vol. 69(C).
    13. Simon Jurkatis & Andreas Schrimpf & Karamfil Todorov & Nicholas Vause, 2023. "Relationship discounts incorporate bond trading," BIS Working Papers 1140, Bank for International Settlements.
    14. Lou, Dong, 2020. "Informed Trading in Government Bond Markets," CEPR Discussion Papers 15028, C.E.P.R. Discussion Papers.
    15. 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

    Keywords

    Private information; Client-dealer connections; Government bond market;
    All these keywords.

    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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