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Journal of Financial Economics
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Article . 2008 . Peer-reviewed
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Auctioned IPOs: The U.S. Evidence

The U.S. Evidence
Authors: Degeorge, F.; Derrien, F.; Womack, K.L.;

Auctioned IPOs: The U.S. Evidence

Abstract

Between 1999 and 2007, WR Hambrecht has completed 19 IPOs in the U.S. using an auction mechanism. We analyze investor behavior and mechanism performance in these auctioned IPOs using detailed bidding data. The existence of some bids posted at high prices suggests that some investors (mostly retail) try to free-ride on the mechanism. But institutional demand in these auctions is very elastic, suggesting that institutional investors reveal information in the bidding process. Investor participation is largely predictable based on deal size, and demand is dominated by institutions. Flipping is equally prevalent in auctions as in bookbuilt deals – but unlike in bookbuilding, investors in auctions tend to flip their shares more in cold deals. Finally, we find that institutional investors, who provide more information, are rewarded by obtaining a larger share of the deals that have higher initial returns. Our results therefore suggest that auctioned IPOs could be an effective alternative to traditional bookbuilding.

Country
Netherlands
Keywords

Initial public offerings, investment banking, auctions, [SHS.GESTION.FIN] Humanities and Social Sciences/Business administration/domain_shs.gestion.fin, Initial public offerings, Initial public offerings; investment banking; auctions, auctions, investment banking, Initial public offerings;investment banking;auctions, jel: jel:G24, jel: jel:G32

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    78
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
78
Top 10%
Top 10%
Top 10%
bronze