Crowding and Tail Risk in Momentum Returns

B-Tier
Journal: Journal of Financial and Quantitative Analysis
Year: 2022
Volume: 57
Issue: 4
Pages: 1313-1342

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:cup:jfinqa:v:57:y:2022:i:4:p:1313-1342_3
Journal Field
Finance
Author Count
3
Added to Database
2026-01-24