The Anatomy of Crisis Alpha
Allocator IQ's manager-level data provides insight into the dispersion of crisis alpha across identifiable strategy types, traded markets, investment structures, and historical track records.
Our first note established that managed-futures returns, as an asset class, behave differently as equity-market stress deepens. The great majority of actively tracked progrmas show it. That raises the question every allocator actually cares about: Why do managed-futures strategies perform increasingly well as equity-market conditions deteriorate, and which manager characteristics explain that performance?
We pulled apart Gnosis’s own manager universe to find out. The answer is not random. It tracks four observable, screenable characteristics.
Each pair compares real groups of programmes across Gnosis’s actively tracked manager universe, defined by a shared, observable characteristic — not any single named manager.
Tenure is a filter, not just a number
The staircase is clean and monotonic. A programme that has been reporting for two decades has, by definition, already traded through the dot-com unwind, the 2008 crisis, 2018, COVID and 2022 — and is still here.
Weak crisis performers tend not to still be reporting twenty years later. Tenure is partly a selection effect and partly the point: the people behind a twenty-year programme have lived through several real regime changes, not modelled them after the fact.
Strategy construction: trend-following’s shape
Systematic trend-following is built to add to a position as a move extends and cut it as the move reverses — a payoff shape that resembles a long options position. It pays out precisely when a market moves hard in one direction, which is the defining feature of a crisis.
This is the same convexity relationship our broader historical research found at the asset-class level; here it is concentrated specifically in trend-following construction, not spread evenly across every strategy label.
Markets traded: breadth beats concentration
A programme trading only stock-index futures is still, mechanically, trading the asset class that is crashing. Its crisis alpha is capped by how little room it has to diversify away from the very exposure under stress.
Breadth of markets, alongside equities, such as interest rates, currencies, and commodities, is what gives a program room to diverge from the market crisis instead of riding a smaller version of it.
Fund structure: flexibility matters
Retail-regulated wrappers such as UCITS funds typically carry tighter constraints on leverage, short exposure and derivatives use than exempt pools, limited partnerships or direct managed accounts. Those constraints can mechanically cap a strategy’s ability to generate the asymmetric payoff crisis alpha depends on.
This is a structural reason, not an incidental one, for why Gnosis’s own coverage centres on Separately Managed Accounts and similarly flexible structures.
What this looks like in practice
The Diversified Trend-Follower
- 20+ year track record
- Fully systematic, trend-following core
- Trades a broad global futures basket — equities, rates, currencies, commodities
- Structured as an exempt or commingled vehicle
This combination of characteristics is the one most consistently associated with the highest crisis-alpha readings in the dataset.
The Currency & Macro Specialist
- Shorter track record, built around a specific team’s macro expertise
- FX and rates-focused, often a discretionary/systematic hybrid
- Single-sector by market, but the strongest-scoring single-sector group in the data
Tenure is not the only route tightly specialised, macro-literate strategy can score as well without two decades on the clock.
Both profiles are illustrative composites built from patterns across many programmes in the dataset. They do not describe, and should not be read as describing, any single named manager.
What this means for due diligence
One thing the data does not support: picking the single best performer from the last crisis and expecting it to repeat. A separate historical study we ran found that a simple rule based on who scored best last time failed every out-of-sample test we put it through. Individual-manager stock-picking from a crisis leaderboard does not hold up.
What does hold up is screening on the characteristics above, all of which are observable before you allocate: track record length, trend-following construction, breadth of markets traded, and fund structure. These are not backward-looking scores frozen at one point in time — they are structural facts about how a programme is built, and they are exactly what a systematic manager-evaluation process should be screening for.
Past performance is not necessarily indicative of future results. Figures describe historical relationships across groups of programmes, not any individual manager, and are not a recommendation, endorsement or offer. Trading futures, options and other commodity interests involves a substantial risk of loss and is not suitable for all investors. Directed to institutional allocators and Eligible Contract Participants.
See how Allocator IQ supports screening for these characteristics
Request access and we’ll walk your team through the manager universe, filtered on the criteria that actually move the needle in a crisis.
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