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Comomentum: inferring arbitrage activity from return correlations

Lou, Dong ORCID: 0000-0002-5623-4338 and Polk, Christopher (2022) Comomentum: inferring arbitrage activity from return correlations. Review of Financial Studies, 35 (7). 3272 - 3302. ISSN 0893-9454

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Identification Number: 10.1093/rfs/hhab117


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.Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Item Type: Article
Official URL:
Additional Information: © 2021 The Authors
Divisions: Finance
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HG Finance
JEL classification: G - Financial Economics > G2 - Financial Institutions and Services > G23 - Pension Funds; Other Private Financial Institutions
G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
Date Deposited: 26 Mar 2021 10:21
Last Modified: 18 Feb 2024 20:24

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