How commodity-index weights combine returns, why physical prices and futures return versions differ, and how a benchmark differs from a tracking fund.
Commodity index
A commodity index is a rules-based measure of prices or investment returns for a specified commodity or basket of commodities. It can benchmark a commodity allocation, but the name alone does not identify the exposure: an index based on physical prices can behave differently from one that continually holds and rolls futures contracts.
To interpret “commodities rose,” identify the index, its currency and its return version. Those choices determine what the reported change actually measures.
The weights turn individual moves into a basket return
Consider a fictional return basket with 60% in exposure A and 40% in exposure B at the start of one period. Both component returns use the same reporting currency and measurement period. A returns 10% and B returns −5%. There are no fees, cash flows or changes to positions during the period.
For start-of-period weights wi summing to one and component returns Ri on the same basis,
Rbasket=i∑wiRi=0.60(0.10)+0.40(−0.05)=0.04.
Exposure
Start weight
Component return
Contribution to basket return
A
60%
+10%
+6 percentage points
B
40%
−5%
−2 percentage points
Basket
100%
+4%
A normalized index level of 100 becomes 104. A separate value check gives the same answer: starting allocations of 60 and 40 become 66 and 38, totalling 104. Taking the simple average of the component returns would give 2.5%, which incorrectly assumes equal starting weights.
Fictional exposure A has a 60% start weight and a 10% return, contributing 6 percentage points; B has a 40% start weight and a minus 5% return, contributing minus 2 points. The basket returns 4%, taking an index level from 100 to 104.
Original synthetic one-period basket, before costs. Contributions are percentage points of basket return; the weights are illustrative, not an actual provider's methodology.
This example explains return weighting. It does not specify futures contract quantities, margin requirements or a roll strategy. Real index calculations must also handle the selected contracts, changing prices, rebalancing and any collateral convention. A futures position's margin deposit is not its basket weight.
“Spot,” excess return and total return need a definition
A physical-price index must specify the goods and price observations it combines, including relevant grades, locations and delivery terms. Do not assume that a financial index labelled “spot” is such a physical-price survey.
For example, the S&P GSCI Methodology, August 2026, describes a production-weighted futures benchmark. Its calculation uses nearby futures prices and, during rolls, the contracts being rolled into. Its “spot” label therefore does not mean a basket of directly observed physical cash prices.
Return series
What to check
Physical-price measure
Which physical prices, units, locations and aggregation weights are used?
Futures excess return
Which contracts and roll rules define the futures portfolio return, excluding collateral interest?
Futures total return
Which collateral-return convention is added to that futures return?
In the S&P GSCI family, ER represents the futures portfolio return and TR also includes interest on hypothetically committed funds. Here, “excess return” identifies an index return convention; it does not mean a manager has beaten a benchmark. See the provider's methodology, pages 4 and 10–12.
Rolling replaces an expiring exposure with a later contract. The relationship between those prices matters, but contango or backwardation alone does not guarantee the subsequent investment return. Prices can change while each contract is held.
The Commodities primer explains physical specifications, storage and forward-curve shape before introducing a producer hedge. Its preview is public; the full lesson requires a signed-in free account.
A benchmark is a set of choices, not a fund share
Weighting rules can produce different exposures even when two indices cover similar commodities. S&P GSCI uses production weighting; CME's BCOM overview describes target weights combining production and futures-market liquidity, with commodity and sector caps. Neither is represented by the fictional weights above.
A diversified commodity benchmark can still be a poor match for a firm's specific commodity price risk. A processor's input bill depends on its own quantities and purchase terms, not the benchmark's weights.
An index level is also distinct from the value of an exchange-traded fund share that seeks to track it. The product has its own holdings, expenses and trading costs. Its return can differ from the index; Investor.gov's index-fund guide explains these tracking limitations. Compare the product with the exact return series it names, over matching dates and in the same currency.
Sources
S&P Dow Jones Indices — S&P GSCI Methodology, August 2026, checked 27 October 2026. Printed pages 4, 8 and 10–12: objective, production weights, contract expirations, return versions and roll process.
John C. Hull, Options, Futures, and Other Derivatives, ninth Global Edition, Pearson, 2018, Chapter 3, Section 3.6, “Stack and Roll,” printed pages 90–91. Grounds replacing a futures position with a later expiry. The weighted example and diagram are original.