Increased market volatility raises the Value at Risk (VAR) for trading positions. For systematic funds like CTAs that use VAR-based position sizing, this can automatically force them to reduce holdings to maintain risk targets, adding selling pressure that is independent of fundamental views.

The core engineering of a multi-strategy fund allows it to achieve high returns on low volatility (e.g., 10% on 5 vol). This is because diversification and centralized risk management enable the fund to net out opposing positions internally, avoiding the need to hold separate capital for each side of a trade.

Unlike typical investors who chase performance, sophisticated institutions often rebalance into managed futures when the strategy is in a drawdown. They take profits after strong years (like 2022) and re-allocate capital during weak periods to maintain strategic exposure.

While seductive, complex trades with multiple conditions (knock-ins, knock-outs) create numerous ways for a core thesis to be correct on direction but still result in a loss. Simplicity in trade expression is a form of risk management that minimizes the pain of a good call being ruined by flawed execution.

Simple replication of managed futures indices is slow and has high tracking error. A superior “informed replication” approach combines backward-looking index data with forward-looking trend system priors and active risk management, resulting in a more robust beta-like exposure.

“Crisis Alpha” is not a guaranteed hedge but the result of a managed futures strategy successfully capturing extreme macroeconomic shifts. The strategy is fundamentally about following major macro themes, with a crisis simply being one of the most intense themes it can follow.

Combining managed futures with equities in a single product makes the strategy easier for investors to hold behaviorally. However, this “smoother ride” comes at a cost: it dilutes the powerful, anti-correlated impact that a pure-play managed futures strategy can have during a significant market downturn.

Average drawdown is superior to metrics like standard deviation because it measures both the magnitude and duration of a portfolio's decline. This combination better reflects the actual emotional discomfort clients experience during a market downturn, making it a more practical gauge of risk.

Contrary to expectations, drawdowns in managed futures frequently occur when equity markets are performing well. The strategy's recovery periods, however, often coincide with equity market turbulence, highlighting its counter-cyclical nature and making it behaviorally difficult to hold.