Low–Risk Alpha without Low Beta

We propose a risk-managed approach to capturing the low-volatility anomaly. Leveraging multifactor low-risk portfolios to a beta of 1.0 while controlling tracking error amplifies strategy returns and information ratios. Across developed and emerging markets, this levered low-risk strategy outperforms the market and traditional low-risk portfolios. Outperformance is driven by the strategy’s low-risk tilt rather than leverage effects. Our results suggest that investors who are able to overcome leverage constraints are able to harvest the low-volatility anomaly more efficiently.

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Publication Details

Journal
The Journal of Portfolio Management
Published
2024-12-18
DOI
https://doi.org/10.3905/jpm.2024.1.657
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Low–Risk Alpha without Low Beta

Danny Huang, David Blitz, Maarten Jansen, Clint Howard
The Journal of Portfolio Management
Nuclear Physics and Applications
article

Low–Risk Alpha without Low Beta

Danny Huang, David Blitz, Maarten Jansen, Clint Howard
article en

Abstract

We propose a risk-managed approach to capturing the low-volatility anomaly. Leveraging multifactor low-risk portfolios to a beta of 1.0 while controlling tracking error amplifies strategy returns and information ratios. Across developed and emerging markets, this levered low-risk strategy outperforms the market and traditional low-risk portfolios. Outperformance is driven by the strategy’s low-risk tilt rather than leverage effects. Our results suggest that investors who are able to overcome leverage constraints are able to harvest the low-volatility anomaly more efficiently.

The Journal of Portfolio ManagementVol. 51(4)
Quantitative BioSciences (US)
Openalex Percentile: Top 66%
Nuclear Physics and Applications
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