JOURNAL ARTICLE
Interview with Marat Molyboga of Efficient Capital Management.
Published In: Journal of Portfolio Management, 2026, v. 52. P. 25 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Fabozzi Editor, Frank J. 3 of 3
Abstract
The article focuses on the role and evaluation of managed futures—an alternative investment strategy primarily employing trend-following techniques—in multi-asset portfolios. Managed futures, often implemented by commodity trading advisors (CTAs), are valued for their ability to generate "crisis alpha," delivering strong returns during extended market downturns and inflationary shocks, thus serving as effective risk mitigators within Meketa’s Risk Mitigation Strategies (RMS) framework. The discussion highlights common misconceptions about managed futures’ risk profile, the importance of diversification across multiple CTAs to reduce idiosyncratic risk, and the benefits of volatility targeting and risk scaling in portfolio construction. It also addresses challenges in research and implementation, emphasizing the need for robust, multi-manager managed accounts with daily transparency to avoid performance chasing and improve crisis resilience. Looking forward, the article suggests that despite theoretical awareness of growth risk, many investors remain underprotected against equity drawdowns, underscoring the potential for broader adoption of managed futures within multi-asset strategies to enhance portfolio robustness. [Extracted from the article]
Additional Information
- Source:Journal of Portfolio Management. 2026/01, Vol. 52, p25
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2026
- ISSN:0095-4918
- DOI:10.3905/jpm.2026.1.822
- Accession Number:192352079
- Copyright Statement:Copyright of Journal of Portfolio Management is the property of With Intelligence Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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