Key Takeaways
- • Man AHL research demonstrates that trend-following strategies operating on shorter time horizons (4-week trend sensitivity) provide superior downside protection compared to slower strategies (24-week sensitivity) across historical market downturns from 1995 to 2022.
- • Short-term trend strategies, defined as those capturing market trends lasting a couple of weeks rather than months or longer, deliver materially better portfolio resilience during drawdown periods when combined with traditional stock-and-bond allocations.
- • Adi Mackic, senior client portfolio manager at Man AHL, advocates for diversification across multiple trend-following time frames rather than concentration in a single speed, noting that faster systems adjust positions more responsively due to shorter lookback horizons.
- • Allocators should consider splitting trend-following allocations across different time frames to maximize defensive portfolio properties, as most institutional investors already integrate managed futures as a diversification component rather than a standalone allocation.
Summary
Man AHL's latest research challenges conventional approaches to trend-following strategies by demonstrating that faster, short-term models significantly outperform slower variants in protecting portfolios during market stress. The analysis compared hypothetical portfolios combining traditional equity-bond holdings with trend-following strategies operating at different speeds, spanning the 27-year period from 1995 to 2022.
The findings reveal a clear relationship between strategy speed and downside mitigation. Strategies with 24-week trend-length sensitivity—the slowest tested—provided the weakest protection during historical drawdown periods. In contrast, portfolios incorporating strategies responsive to trends as short as four weeks experienced the smallest declines during market downturns. According to Mackic, this performance differential reflects a fundamental structural advantage: faster systems can adjust positions quickly because they rely on shorter lookback periods, whereas slower systems cannot react promptly due to their longer time horizons.
Mackic emphasized that the research does not prescribe an all-or-nothing approach. Rather, allocators should consider building diversified trend-following allocations across multiple time frames. "If the aim of the trend-following allocation is to boost the defensive properties of a portfolio, then perhaps a more responsive system, one that allocates more to fast-trend models, may suit best," Mackic noted. He acknowledged that few institutional investors concentrate exclusively on trend-following strategies; instead, these approaches typically serve as portfolio components designed to enhance overall risk-adjusted returns and defensive characteristics.
The implications for institutional allocators are material: incorporating short-term trend models alongside traditional slower systems appears to generate both diversification benefits and improved downside protection. For investors seeking to optimize their defensive allocations, the research suggests that a multi-speed approach to trend-following may deliver superior risk management outcomes than reliance on single-horizon strategies.
The findings reveal a clear relationship between strategy speed and downside mitigation. Strategies with 24-week trend-length sensitivity—the slowest tested—provided the weakest protection during historical drawdown periods. In contrast, portfolios incorporating strategies responsive to trends as short as four weeks experienced the smallest declines during market downturns. According to Mackic, this performance differential reflects a fundamental structural advantage: faster systems can adjust positions quickly because they rely on shorter lookback periods, whereas slower systems cannot react promptly due to their longer time horizons.
Mackic emphasized that the research does not prescribe an all-or-nothing approach. Rather, allocators should consider building diversified trend-following allocations across multiple time frames. "If the aim of the trend-following allocation is to boost the defensive properties of a portfolio, then perhaps a more responsive system, one that allocates more to fast-trend models, may suit best," Mackic noted. He acknowledged that few institutional investors concentrate exclusively on trend-following strategies; instead, these approaches typically serve as portfolio components designed to enhance overall risk-adjusted returns and defensive characteristics.
The implications for institutional allocators are material: incorporating short-term trend models alongside traditional slower systems appears to generate both diversification benefits and improved downside protection. For investors seeking to optimize their defensive allocations, the research suggests that a multi-speed approach to trend-following may deliver superior risk management outcomes than reliance on single-horizon strategies.
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