Key Takeaways
- • Managed futures employ systematic trend-following models to detect price persistence in stocks, bonds, currencies, and commodities, then ride directional drift until the model signals trajectory disruption. This quantitative approach removes emotional decision-making from portfolio positioning.
- • Roberto Croce, Fidelity Portfolio Manager with 15 years of managed futures experience, has developed a differentiated long/short strategy characterized by capital efficiency and broad market diversification across multiple asset classes.
- • Managed futures strategies exhibit distinct return profiles and favorable attributes for multi-asset portfolio construction, though performance varies materially depending on market conditions and trend persistence.
- • Quantitative signal combination is central to trend identification and conviction assessment, enabling systematic trade execution based on model-derived directional indicators rather than discretionary judgment.
- • The persistence of trends is fundamentally driven by human behavioral factors, creating exploitable inefficiencies that systematic managed futures strategies are designed to capture.
Summary
Managed futures strategies operate on a core principle of systematic trend-following, using quantitative models to identify and exploit price momentum across diversified financial markets. According to the Fidelity Alternative Angles podcast episode, these strategies observe the directional path of securities—encompassing stocks, bonds, currencies, and commodities—and maintain exposure until models indicate a meaningful change in trajectory has occurred.
Roberto Croce, a Fidelity Portfolio Manager with 15 years of experience in managed futures investing, discusses the mechanics and application of trend-following frameworks in contemporary portfolio construction. Croce and his team have constructed a disciplined systematic long/short strategy emphasizing capital efficiency and exposure across a broad, diverse set of markets. This approach combines multiple quantitative signals to identify emerging trends, assess conviction levels, and implement trades systematically rather than through discretionary processes.
The podcast addresses critical considerations for institutional investors evaluating managed futures as a portfolio addition. Key topics include the distinctive return profiles and attributes that make managed futures complementary to traditional multi-asset allocations, the market conditions that favor or challenge trend-following performance, and the mechanics of how quantitative models detect and respond to price persistence. Notably, Croce emphasizes that the human behavioral dimension—investor psychology and decision-making patterns—underlies the creation and persistence of trends, providing a fundamental rationale for systematic capture through algorithmic approaches.
The discussion underscores that managed futures strategies succeed by removing emotional and discretionary elements from portfolio construction, instead relying on disciplined model outputs to guide capital allocation. Performance outcomes depend critically on market regime and trend persistence characteristics, suggesting these strategies function most effectively in environments where directional price movements exhibit measurable persistence before reversal.
Roberto Croce, a Fidelity Portfolio Manager with 15 years of experience in managed futures investing, discusses the mechanics and application of trend-following frameworks in contemporary portfolio construction. Croce and his team have constructed a disciplined systematic long/short strategy emphasizing capital efficiency and exposure across a broad, diverse set of markets. This approach combines multiple quantitative signals to identify emerging trends, assess conviction levels, and implement trades systematically rather than through discretionary processes.
The podcast addresses critical considerations for institutional investors evaluating managed futures as a portfolio addition. Key topics include the distinctive return profiles and attributes that make managed futures complementary to traditional multi-asset allocations, the market conditions that favor or challenge trend-following performance, and the mechanics of how quantitative models detect and respond to price persistence. Notably, Croce emphasizes that the human behavioral dimension—investor psychology and decision-making patterns—underlies the creation and persistence of trends, providing a fundamental rationale for systematic capture through algorithmic approaches.
The discussion underscores that managed futures strategies succeed by removing emotional and discretionary elements from portfolio construction, instead relying on disciplined model outputs to guide capital allocation. Performance outcomes depend critically on market regime and trend persistence characteristics, suggesting these strategies function most effectively in environments where directional price movements exhibit measurable persistence before reversal.
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