Quantitative Global Macro Strategy: QIS Corner: Aggregate commodity regime indicators and systematic carry trades

Research evidence excerpt

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20 Aug 2026 08:34:26 ET │ 14 pages

Quantitative Global Macro Strategy

QIS Corner: Aggregate commodity regime indicators and systematic

carry trades

CITI'S TAKE

Renewed geopolitical tensions have driven commodity prices higher. Our

macro-based regime model sees above-average growth and inflation as

supportive of commodities and equities (vs bonds/credit). Such a “normal”

macro-cluster favors curve and vol-carry and congestion strategies. In this

iteration of QIS corner, we introduce commodity-specific regime indicators

starting with aggregate commodity-volatility and cross-sectional

dispersion as a complementary lens. Dispersion can help distinguish broadbased shocks from concentrated, commodity-specific moves. Applying this

framework, we examine the performance of QIS strategies across different

volatility/dispersion regimes. Historically, periods of both elevated volatility

and dispersion, as now, have favoured congestion and (vol and curve) carry.

Looking ahead, further normalisation in cross-sectional dispersion could

strengthen the case for carry while backwardation strategies also benefit.

Persistently high dispersion with normalizing (lower) volatility can signal

rotations underneath. Most strategies struggle under such regimes and the

opportunity set could shift towards producer margin value and congestion

strategies.

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Alex Saunders AC

Vinh Vo AC

Macro conditions remain supportive of risk-taking — Our regime model remains in

a normal cluster, characterised by above-trend growth and inflation alongside loose

financial conditions. We see this backdrop as favourable for risk assets with a

constructive view on equities and commodities vs rates and credit.

A volatility-dispersion framework for classifying commodity market regimes —

The recent commodity shock has been concentrated in energy, driving a sharp rise in

cross-commodity dispersion. As with AI-related equity market rotations, we think

aggregate measures can mask important shifts beneath the surface. We find a

layered lens of volatility and dispersion helps identify and position for such shifts.

Carry remains supported, but the dispersion regime warrants closer attention —

…