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Management Science
Article
Data sources: UnpayWall
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BI Open
Article . 2018
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Management Science
Article . 2018 . Peer-reviewed
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DBLP
Article . 2018
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Portfolio Tax Trading with Carryover Losses

Authors: Paul Ehling; Michael Gallmeyer; Sanjay Srivastava; Stathis Tompaidis; Chunyu Yang;

Portfolio Tax Trading with Carryover Losses

Abstract

We study portfolio choice with multiple stocks and capital gains taxation, assuming that capital losses can only offset current or future realized capital gains. We show, through backtesting using empirical distributions, that optimal equity holdings over an extended period are significantly lower on average than benchmark holdings suggested in the literature. Using value and growth or small and large portfolios, the backtests show that allocations remain persistently underdiversified. Carryover losses have large economic significance since they can dramatically shrink the no-trade region. Finally, the backtested economic cost of incorrectly modeling capital losses is at least 8% of lifetime wealth. The Internet appendix is available at https://doi.org/10.1287/mnsc.2017.2733 . This paper was accepted by Neng Wang, finance.

Country
Norway
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
bronze