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The Relevance of Broker Networks for Information Diffusion in the Stock Market

Author

Listed:
  • Marco Di Maggio
  • Francesco Franzoni
  • Amir Kermani
  • Carlo Sommavilla

Abstract

This paper shows that the network of relationships between brokers and institutional investors shapes the information diffusion in the stock market. We exploit trade-level data to show that central brokers gather information by executing informed trades, which is then leaked to their best clients. We show that after large informed trades, a significantly higher volume of other institutional investors execute similar trades through the same broker, allowing them to capture higher returns in the first few days after the initial trade. In contrast, we find that when the informed asset manager is affiliated with the broker, such imitation does not occur. Similarly, we show that the clients of the broker employed by activist investors to execute their trades tend to buy the same stocks just before the filing of the 13D. This evidence also suggests that an important source of alpha for fund managers is the access to better connections rather than superior skill.

Suggested Citation

  • Marco Di Maggio & Francesco Franzoni & Amir Kermani & Carlo Sommavilla, 2017. "The Relevance of Broker Networks for Information Diffusion in the Stock Market," NBER Working Papers 23522, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23522
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    Cited by:

    1. 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.
    2. Azi Ben-Rephael & Ryan D Israelsen, 2018. "Are Some Clients More Equal Than Others? An Analysis of Asset Management Companies’ Execution Costs [An analysis of trade-size clustering and its relation to stealth trading]," Review of Finance, European Finance Association, vol. 22(5), pages 1705-1736.
    3. Agarwal, Sumit & He, Jia & Sing, Tien Foo & Song, Changcheng, 2019. "Do real estate agents have information advantages in housing markets?," Journal of Financial Economics, Elsevier, vol. 134(3), pages 715-735.
    4. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
    5. Anand, Amber & Irvine, Paul & Liu, Tingting, 2019. "Does institutional trading affect underwriting?," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 1-1.
    6. Acheson, Graeme G. & Coyle, Christopher & Turner, John D., 2018. "Prices and informed trading: Evidence from an early stock market," QUCEH Working Paper Series 2018-05, Queen's University Belfast, Queen's University Centre for Economic History.

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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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