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Other literature type . 2026
License: CC BY
Data sources: ZENODO
https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
Data sources: Crossref
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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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The Informational Role of the Most Recent Month in Industry-Level Momentum Strategies

Authors: Dikhit, Dibyam;

The Informational Role of the Most Recent Month in Industry-Level Momentum Strategies

Abstract

This paper investigates the impact of information from the most recent month, commonly excluded from momentum portfolio construction, on subsequent industry-level momentum performance. Using the Fama-French 48 industry portfolios from 1975 to 2024, I compare standard 12-1 momentum strategies with 12-0 variants using a long-only approach, conditioning performance on prior-month returns and volatility. While conventional momentum strategies simply remove the most recent month to mitigate documented short-term reversal effects in stock returns, my results show that the behavior of the recent month contains economically meaningful information that helps explain differences in momentum performance across different market regimes in the Fama–French 48 industry portfolios. These findings indicate that the most recent month provides meaningful information for momentum strategies, rather than serving just as a mechanical function in portfolio construction.

Related Organizations
Keywords

Industry Portfolios, Quantitative Finance, Volatility Regimes, Fama-French, Momentum Strategies, Skip-Month

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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!
0
Average
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