Publication Type
Journal Article
Version
acceptedVersion
Publication Date
11-2023
Abstract
Recent empirical studies document a negative relation between herding behaviour and the skill of mutual fund managers. We explore this relationship further by focusing on fund managers' contrarian buy and sell behaviour against the market. Our study reveals an asymmetry in the performance of mutual funds with contrarian buy behaviour and contrarian sell behaviour. The contrarian-buy behaviour reflects skill by positively predicting the cross-section of next period's mutual fund returns, while the contrarian-sell behaviour reflects a lack of skill associated with a negative prediction. These findings are robust to various risk-adjusted performance measures. Contrarian-buy funds outperform momentum-buy funds by 3% per year, while contrarian-sell funds underperform momentum-sell peers by about 4%. These findings are robust across different sizes and styles of mutual funds. Further analysis indicates that the asymmetric effect is reversed during recessions and disappears when market sentiment is high. We also study how mutual fund characteristics relate to contrarian buy and sell practices. We find that mutual funds with larger size, higher flow, lower tracking error, and no manager ownership are more likely to buy against the crowd but sell with the crowd.
Keywords
Buy and sell asymmetry, Contrarian trading, Herding, Mutual funds
Discipline
Finance and Financial Management | Portfolio and Security Analysis
Publication
International Review of Financial Analysis
Volume
90
First Page
1
Last Page
17
ISSN
1057-5219
Identifier
10.1016/j.irfa.2023.102824
Publisher
Elsevier
Embargo Period
8-28-2023
Citation
LEE, John Byong-Tek; MA, Jun; MARGARITIS, Dimitris; and YANG, Wanyi.
Is anti-herding always a smart choice? Evidence from mutual funds. (2023). International Review of Financial Analysis. 90, 1-17.
Available at: https://ink.library.smu.edu.sg/skbi/30
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.irfa.2023.102824