Geopolitical conflict is one of the clearest catalysts for rapid repricing across global markets. For macro investors, wars introduce shocks that propagate through commodities, currencies, interest rates, and risk assets as markets adjust to new expectations around growth, inflation, and fiscal policy.

The initial phase of a conflict typically produces a familiar pattern. Energy and other commodities often move higher as supply risks increase. The U.S. dollar tends to strengthen as global investors seek liquidity and safety. At the same time, equity markets often decline as uncertainty rises and risk premiums widen.

As conflicts persist, market dynamics can diverge depending on the macroeconomic transmission channel. Sustained commodity pressure and increased fiscal spending may contribute to higher inflation expectations, which can push interest rates higher and weigh on fixed income markets. Alternatively, if the conflict weakens global growth or contributes to recessionary pressures, investors may rotate into government bonds, leading to lower yields and rising bond prices.

In practice, these shifting relationships create opportunities for global macro strategies, which can dynamically adjust exposures across asset classes as the dominant macro forces evolve.

A Notable Feature of the Return Profile

During a recent portfolio analytics review with our prime broker, they highlighted a feature of Gnomon Alpha’s historical return profile that may be relevant in a portfolio construction context: the strategy’s conditional correlation with equities.

Using data sourced from SG Prime Services, BarclayHedge, and Bloomberg, the strategy has exhibited the following since-inception correlations relative to the S&P 500:

• –0.62 correlation during down equity markets

• 0.19 correlation during up equity markets

The negative 0.62 correlation during down equity months indicates that, historically, the strategy has tended to move in the opposite direction of equities during periods when the S&P 500 declined. By comparison, over the same period, the SG CTA Index exhibited a +0.25 correlation during down equity months.

From a portfolio perspective, conditional correlation—particularly during equity drawdowns—can provide additional insight beyond full-period correlation alone. While the strategy has maintained relatively modest correlation during rising markets, the historical data shows a tendency to behave differently during equity declines.

These statistics were not presented as a forecast or structural feature, but rather as an observed characteristic of the historical data. Conditional correlations are inherently regime-dependent and may change as market conditions evolve.

Gnomon Alpha is a systematic global macro program with dynamic exposures across global asset classes. The historical relationship observed during equity drawdowns reflects the outcome of the model-driven process rather than a designed hedge.