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Syndicate structure and IPO outcomes: The impact of underwriter roles and syndicate concentration

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  • Dunbar, Craig G.
  • King, Michael R.

Abstract

We examine how the composition and concentration of the underwriting syndicate affects outcomes in U.S. initial public offerings (IPOs) from 2002 to 2020. Most IPOs now feature “phantom” lead managers who underwrite significantly fewer shares than the lead-left bookrunner. We hypothesize that the phantom lead is the result of bargaining between issuers wanting greater information production and lead-left bookrunners preferring greater control of the IPO. Larger, less concentrated IPO syndicates feature more absolute price adjustments from the filing price during bookbuilding with downward revisions on average, and more analyst following post-IPO. The magnitude of price adjustments is greater when adding active joint leads relative to passive phantom leads. More concentrated IPOs feature higher first-day returns following positive price adjustments. Adding lead managers reduces the likelihood the lead-left will retain that role in follow-on equity offerings.

Suggested Citation

  • Dunbar, Craig G. & King, Michael R., 2023. "Syndicate structure and IPO outcomes: The impact of underwriter roles and syndicate concentration," Journal of Corporate Finance, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:corfin:v:79:y:2023:i:c:s0929119923000317
    DOI: 10.1016/j.jcorpfin.2023.102382
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    More about this item

    Keywords

    Initial public offerings; Underwriters; Syndicate structure; Price adjustment; First-day returns; Underwriting spread; Equity analysts; Seasoned equity offerings;
    All these keywords.

    JEL classification:

    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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