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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Internati...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of International Money and Finance
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
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Are Individual or Institutional Investors the Agents of ‎Bubbles?‎

Authors: Jongmoo Jay Choi; Haim Kedar-Levy; Sean Sehyun Yoo;

Are Individual or Institutional Investors the Agents of ‎Bubbles?‎

Abstract

Behavioral bubble models typically assume that uninformed trend-chasers, presumably individual investors, cause bubbles, while informed contrarian investors such as institutions, trade against bubbles. DeLong et al. (1990a) highlight that to be considered a “bubble”, the mis-pricing must prevail in a large, diversified portfolio. To meet this criterion, we use a unique dataset of all transactions by investor type for all non-financial Korean firms, and find evidence at odds with such assumptions. Domestic individual investors systematically apply aggressive contrarian trades, while foreign and some domestic institutions are mostly trend-chasers. These findings suggest that institutional investors rather than individuals are agents of bubbles.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
22
Top 10%
Top 10%
Average
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