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Journal of Financial and Quantitative Analysis Vol. 57 No. 4 2022

Crowding and Tail Risk in Momentum Returns

Pedro Barroso1,2,3,4,5; Roger M. Edelen1,2,3,4,5; Paul Karehnke1,2,3,4,5

1 University of California, Riverside · 2 University of Arizona · 3 Universidade Católica Portuguesa · 4 Université Paris Dauphine-PSL · 5 Virginia Tech

open access

Abstract

Several theoretical studies suggest that coordination problems can cause arbitrageur crowding to push asset prices beyond fundamental value as investors feedback trade on each others’ demands. Using this logic, we develop a crowding model for momentum returns that predicts tail risk when arbitrageurs ignore feedback effects. However, crowding does not generate tail risk when arbitrageurs rationally condition on feedback. Consistent with rational demands, our empirical analysis generally finds a negative relation between crowding proxies constructed from institutional holdings and expected crash risk. Thus our analysis casts both theoretical and empirical doubt on crowding as a stand-alone source of tail risk.

DOI
10.1017/s0022109021000624
Volume
57
Issue
4
Pages
1313-1342
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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