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Inferring latent social networks from stock holdings

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  • Hong, Harrison
  • Xu, Jiangmin

Abstract

We infer the latent social networks of investors using data on their stock holdings. We map linkages to portfolio weights using a portfolio-choice model. The precision of an investor’s private signal about firm value is assumed to increase with his connections in the city where the firm is headquartered. Using money-manager data, we find that managerial linkages to a city are overly dispersed relative to the Erdös–Rényi model of i.i.d. connections. Managers at the tail of this distribution with non-i.i.d. linkages have more university alumni in that city. Their stock holdings there outperform their holdings in other cities.

Suggested Citation

  • Hong, Harrison & Xu, Jiangmin, 2019. "Inferring latent social networks from stock holdings," Journal of Financial Economics, Elsevier, vol. 131(2), pages 323-344.
    • Handle: RePEc:eee:jfinec:v:131:y:2019:i:2:p:323-344
    DOI: 10.1016/j.jfineco.2017.08.005
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    More about this item

    Keywords

    Social networks; Poisson regressions; Investor behavior;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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