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Review of Financial Studies Vol. 35 No. 7 2022

Comomentum: Inferring Arbitrage Activity from Return Correlations

Dong Lou; Christopher Polk

London School of Economics

open access

Abstract

We propose a novel measure of arbitrage activity to examine whether arbitrageurs can have a destabilizing effect on the stock market. We focus on stock price momentum, a classic example of a positive-feedback strategy that our theory predicts can be destabilizing. Our measure, dubbed comomentum, is the high-frequency abnormal return correlation among stocks on which a typical momentum strategy would speculate. When comomentum is low, momentum strategies are stabilizing, reflecting an underreaction phenomenon that arbitrageurs correct. When comomentum is high, the returns on momentum stocks strongly revert, reflecting prior overreaction from crowded momentum trading that pushes prices away from fundamentals.

DOI
10.1093/rfs/hhab117
Volume
35
Issue
7
Pages
3272-3302
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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