Commodities (COM)
Commodities strategies gain exposure to physical commodities—energy, metals, agriculture—through futures, physical holdings, structured offtake, and commodity trading approaches. Allocators evaluate commodities through inflation and crisis behavior, roll yield and curve structure, collateral and leverage management, liquidity, and whether the strategy is directional beta or a true trading/relative value program.
Commodities are often treated as “inflation hedge.” Institutionally, they are underwritten as curve dynamics + collateral management + liquidity. Returns can come from spot price moves, carry/roll yield, or trading skill. The distinction between commodity beta and specialized commodity trading is central.
From an allocator perspective, commodities affect:
- inflation sensitivity,
- portfolio crisis behavior,
- liquidity and leverage mechanics, and
- roll yield and curve risk.
How allocators define commodities risk drivers
Allocators segment commodities exposure by:
- Commodity group: energy, industrial metals, precious metals, agriculture/softs
- Exposure type: futures beta, physical exposure, offtake, trading/relative value
- Curve structure: contango/backwardation and roll yield impacts
- Collateral and leverage: margining, drawdown controls, liquidity buffers
- Liquidity and market depth: stress liquidity and position sizing realism
- Regime risk: geopolitical shocks, supply disruptions, policy changes
- Disambiguation: exclude “commodity SaaS”; require physical/market evidence (“offtake,” “physical metals,” “futures”)
- Evidence phrases: “offtake agreements,” “physical,” “futures,” “commodity trading,” “roll yield”
Allocator framing:
“Is this exposure a deliberate inflation/real asset hedge with understood curve mechanics—or a leveraged directional bet with fragile collateral dynamics?”
Where commodities sit in allocator portfolios
- diversification sleeve for inflation and supply-shock hedging
- used tactically or strategically depending on mandate
- often combined with natural resources and real assets allocations
How commodities impact outcomes
- can hedge inflation and supply shocks in certain regimes
- can underperform during contango-heavy periods due to negative roll yield
- can face sharp drawdowns and margin stress if leverage is mishandled
- trading strategies can add idiosyncratic returns but require proof of skill
How allocators evaluate commodities managers
Conviction increases when managers:
- explain return drivers: spot vs carry vs relative value skill
- manage collateral and drawdowns conservatively (no forced liquidations)
- show performance across multiple curve regimes (contango/backwardation cycles)
- provide transparent exposure, risk budgets, and stress testing
- demonstrate operational capability for physical or structured exposures if used
What slows allocator decision-making
- unclear return driver attribution
- leverage dependence without robust collateral controls
- limited evidence across different curve regimes
- mismatch between liquidity assumptions and actual market depth in stress
Common misconceptions
- “Commodities always hedge inflation” → hedge effectiveness varies by regime and curve.
- “Futures exposure equals physical exposure” → roll yield and curve dynamics matter materially.
- “Commodity trading is just beta” → true trading requires demonstrable skill and risk discipline.
Key allocator questions
- What are the return drivers (spot, carry, trading) and how stable are they?
- How do you manage collateral, margin, and drawdown risk?
- How does performance behave in contango vs backwardation regimes?
- What is liquidity profile and stress exit feasibility?
- What is the role: strategic hedge or tactical return sleeve?
Key Takeaways
- Commodities are curve + collateral mechanics as much as spot prices
- Commodities are curve + collateral mechanics as much as spot prices
- Strong programs show attribution, regime performance, and disciplined risk controls