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.
Authors
- Danny Huang (ORCID: https://orcid.org/0000-0001-8188-5485)
- David Blitz (ORCID: https://orcid.org/0000-0002-9616-4485)
- Maarten Jansen (ORCID: https://orcid.org/0000-0001-8622-2365)
- Clint Howard (ORCID: https://orcid.org/0009-0002-7806-1957)
Institutions
- Quantitative BioSciences (US)
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