Regimes

We propose a new systematic method for detecting the current economic regime and show how to use this information for predicting returns. Rather than presupposing a set of possible regimes, we rely on economic state variables and determine at which historical dates the values of these variables were most similar. To establish our position in an asset today, we identify historically similar periods and measure subsequent performance of the asset. If the historical performance is positive, we initiate a long position; conversely, if it is negative, we initiate a short position. We illustrate the efficacy of our method on six common long–short equity factors over 1985–2024. Our results show that our regime classification leads to significant outperformance. Interestingly, we also find important information in what we call anti-regimes—periods in the past that are the most <italic>dissimilar</italic> to today.

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Publication Details

Journal
The Journal of Portfolio Management
Published
2025-12-19
DOI
https://doi.org/10.3905/jpm.2025.1.798
Primary Topic
Global Financial Crisis and Policies
Type
article
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article

Regimes

Otto Van Hemert, Campbell R. Harvey, Amara Mulliner, Chao Xia et al.
The Journal of Portfolio Management
Global Financial Crisis and Policies
article

Regimes

Otto Van Hemert, Campbell R. Harvey, Amara Mulliner, Chao Xia, Ed Fang
article en

Abstract

We propose a new systematic method for detecting the current economic regime and show how to use this information for predicting returns. Rather than presupposing a set of possible regimes, we rely on economic state variables and determine at which historical dates the values of these variables were most similar. To establish our position in an asset today, we identify historically similar periods and measure subsequent performance of the asset. If the historical performance is positive, we initiate a long position; conversely, if it is negative, we initiate a short position. We illustrate the efficacy of our method on six common long–short equity factors over 1985–2024. Our results show that our regime classification leads to significant outperformance. Interestingly, we also find important information in what we call anti-regimes—periods in the past that are the most <italic>dissimilar</italic> to today.

The Journal of Portfolio ManagementVol. 52(4)
National Bureau of Economic Research (US), Duke University (US), Manx National Heritage (IM), Veiligheids- en Gezondheidsregio Gelderland-Midden (NL)
Openalex Percentile: Top 50%
Global Financial Crisis and Policies
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Regimes — Otto Van Hemert, Campbell R. Harvey, et al. · The Journal of Portfolio Management (2025) | TGRS Research Map | TGRS