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Long-term return reversals-Value and growth or tax? UK evidence

Wu, Yuliang; Li, Youwei

Authors

Yuliang Wu



Abstract

This paper examines (i) whether value-growth characteristics have more power than past performance in predicting return reversals; and (ii) whether typical rational behaviour such as incentives to delay paying capital gain taxes can better explain long-term reversals than past performance. We find that value-growth characteristics generally provide better explanations for long-term stock returns than past performance. The evidence also shows that winners identified by capital gains dominate past performance winners in predicting reversals in the cross-sectional comparison. However, in the time-series analysis, when returns on capital gain winners are adjusted by the Fama and French (1996) risk factors, the predictive power of capital gain winners disappears. Our results show that capital gain winners are heavily featured as growth stocks. Return reversals in capital gain winners potentially reflect market price corrections for growth stocks. We conclude that investors’ incentives to delay paying capital gain taxes cannot fully rationalise long-term reversals in the UK market. Our results also imply that the long-term return pattern potentially reflects a mixture of investor rational and irrational behaviour.

Journal Article Type Article
Publication Date 2011-07
Journal Journal of International Financial Markets, Institutions and Money
Print ISSN 1042-4431
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 21
Issue 3
Pages 347-368
APA6 Citation Wu, Y., & Li, Y. (2011). Long-term return reversals-Value and growth or tax? UK evidence. Journal of International Financial Markets, Institutions and Money, 21(3), 347-368. https://doi.org/10.1016/j.intfin.2010.12.001
DOI https://doi.org/10.1016/j.intfin.2010.12.001
Keywords Long-term reversals; Overreaction; Taxes; UK stock market
Publisher URL https://www.sciencedirect.com/science/article/pii/S1042443110000958?via%3Dihub

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Copyright Statement
©2010. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/



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