There are many options available to the institutional investor who seeks to gain exposure to the GSCI Total Return Index (GSCI-TR). One popular alternative is to utilize the GSCI futures contracts traded at CME Group. This affords the investor a liquid market with transparent pricing, flexibility to adjust exposure on a daily basis, and the opportunity to closely track the GSCI-TR and potentially outperform it.
This paper will briefly discuss the components of return that make up the GSCI-TR, examine how CME GSCI futures can be used to reproduce that return and review a few basic strategies for outperforming the benchmark.
Investors should obtain copies of the CME publication GSCI Futures & Options Information Guide as well as the Goldman, Sachs GSCI Manual, 2001 Edition. Both these publications are referenced below.
Return Components of the GSCI Total Return Index
The GSCI-TR measures the total return of a hypothetical investment in the commodity futures market with the following basic characteristics:
A futures investment with these characteristics has three components to its total return:
Taken together, these three components comprise the return in the GSCI-TR. We will next look at the characteristics of the GSCI futures on CME and how they can be used to replicate the GSCI-TR.
GSCI Futures on CME
The GSCI futures on CME can be thought of as a production-weighted average of the 26 underlying commodity futures contracts. Therefore, any property of the GSCI futures (spot price, forward price, volatility) will be essentially an average of the properties of the underlying contracts, with the contracts with the largest production weights having the greatest impact on the average. This is a useful point to remember in understanding the behavior of GSCI futures. This property of the GSCI futures makes it extremely easy to replicate the GSCI-TR, because all the underlying components are present with the appropriate weights. Essentially, instead of rolling 26 individual commodity contracts forward, only one contract is needed.
The GSCI futures have the following important properties:
Pricing GSCI Futures
It is a relatively simple matter to determine the fair market value of GSCI futures. The theoretical price of a given GSCI futures contract month is simply the production-weighted sum of the component contracts divided by the normalizing constant. Details necessary for pricing the futures (components, weights, normalizing constants) are in the CME GSCI Futures & Options 2001 Information Guide and the GSCI Manual, 2001 Edition.
It is possible to price the futures on a real-time basis with a futures data source that feeds directly into a spreadsheet. In fact, a real-time fair-value calculator is present in the GSCI pit at CME and most brokers can report the fair-value to their clients.
There are several reasons that the actual market price may differ from the theoretical fair-value price:
For these reasons most market makers have developed means of estimating the futures prices that have the problems described above to determine a fair market price that is more relevant than the naïve fair-value calculated using only exchange-supplied prices.
Institutional GSCI futures users may wish to construct their own fair-value calculators to be able to determine when the futures are trading cheaply or richly, and thus have the ability to minimize transaction costs.
Replicating the GSCI-TR With CME GSCI Futures
Replicating the GSCI-TR using CME GSCI futures is a relatively straightforward exercise, but care must be taken to minimize tracking errors and transaction costs. We will discuss implementation of a hypothetical $50 million USD investment.
| Business Day of Month | % Position in First Nearby | % Position in Second Nearby |
| 1 - 4 | 100% | 0% |
| 5 | 80% | 20% |
| 6 | 60% | 40% |
| 7 | 40% | 60% |
| 8 | 20% | 80% |
| 9 - Last | 0% | 100% |
Note: It is important to note the percentage of position shared between the first and second nearby contracts during the GSCI roll period of the fifth through ninth business days should be interpreted as number of contracts, not dollar amounts.
For example suppose a $50 million USD position is to be established on the fifth business day of November 1998 between the Nov98 contract trading at 147.3 and the Dec98 contract trading at 151.2. We know that the total face value of the contracts must be $50 million USD and that 80% of the number of contracts must be in November and 20% must be in the December contract. The calculation is as follows:
Number of Nov Contracts * $250 * 147.3 +
Number of Dec Contracts * $250 * 151.2 = $50 million USD
Number of Nov Contracts = 4 * Number of Dec Contracts
Substituting and solving:
| Number of Nov Contracts | = | 1080 |
| Number of Dec Contracts | = | 270 |
| Total Contracts | = | 1350 |
| Dollars Nov Contract | = | $39,789,303 |
| Dollars Dec Contract | = | $10,210,697 |
| Total Dollars | = | $50,000,000 |
Notice that the November position has exactly 80% of the number of total contracts, but only 79.6% of the total dollar value of the position. Depending on the relative price differential between the November and December contracts this discrepancy will be more or less pronounced.
The initial GSCI futures position, and in fact all GSCI futures trading is most efficient, in the time window during the day when all the underlying markets are open [see CME GSCI Futures & Options Information Guide].
The calculation used to determine the relative number of contracts to hold during the roll is identical to the calculation shown above to determine the initial GSCI position.
Because the GSCI-TR is calculated based on the assumption that the rolls occur at the settlement prices of the individual contracts, the GSCI futures should be rolled as late in the trading day as possible provided that a sufficient number of the underlying markets are open.
Outperforming the GSCI-TR Using CME GSCI Futures
GSCI futures have enough flexibility to enable an investor to attempt to outperform the GSCI-TR in several ways.

For example, in the market conditions shown in Chart 1, the costs of rolling from the Nov98 contract:
To Dec98 contract:
151.2 / 147.3 - 1 = 2.6% for one month or 31.8% annualized.
To Jan99 contract:
151.8 / 147.3 - 1 = 3.1% for two months or 18.3% annualized.
To Feb99 contract:
152.5 / 147.3 - 1 = 3.5% for three months or 14.1% annualized.
Although it appears that rolling out on the curve in periods of contango should be an automatic free lunch, there are at least two reasons why it may not be so:
1. The reduced carry cost must be weighed against increased bid/ask spreads in the GSCI futures contract in the outlying months.
2. Care must be taken to volatility match the position taken in a GSCI contract that is mismatched in maturity. Typically, the volatility of the front month GSCI contract is much higher than that of the second or third month’s and it is not perfectly correlated [see Charts 2 and 3]. If an investor rolls out on the GSCI curve he needs to over-hedge by the ratio of the contract volatilities multiplied by their correlation to minimize the basis risk of the position:Hedge Ratio = correlation * volatility contract one / volatility contract two.
This over-hedge increases the cost of carry in direct proportion to its size. It is also not a perfect hedge, as the volatility and correlation parameters must be forecast somehow from market conditions and historical data. Therefore, there will be residual basis risk in the position depending on the accuracy of the forecasts. This basis risk may be considerable in the case of a large price change in the front month. An estimate of the hedge ratios for the Nov98/Dec98 and Dec98/Jan99 contract pairs is shown in Chart 4. This chart demonstrates that being mismatched in maturity with GSCI contract pairs may frequently require an increased position in the longer dated contract because of its reduced volatility. The estimate in Chart 4 was done using the 20 day historical correlations and volatilities from Charts 2 and 3. A better estimate might include forward-looking implied volatilities from the GSCI or individual commodity futures options markets.


Writing covered calls - Although they are currently thinly traded, options on GSCI futures trade on CME. This enables an investor who is neutral to bearish to write calls on his underlying position. The investor will earn the call premium as long as the GSCI does not rise to a level above the strike at which the calls were written. An investor can limit his under-performance in the case of large, unanticipated upward moves in the GSCI by writing call spreads instead of outright calls. This limits his under-performance to the spread between the strikes of the written and purchased calls.
Agressive cash management - Because the GSCI-TR only assumes a three month T-bill yield in its cash calulation, it should be relatively easy for most investors to outperform this portion of the benchmark. It is to be emphasized that the GSCI T-bill calculation assumes a zero duration position so that any duration exposure that is taken in cash is a pure risk position on the part of the investor. A cash position that earns 3-month LIBOR is a good match to the GSCI-TR and should outperform by the short term TED spread [see Chart 5].
There are of course a wide variety of more aggressive cash stragegies that are pursued by index out performance managers. Any of these may be considered for a GSCI program.
Conclusion
The GSCI futures contracts traded on CME are a flexible tool for both replicating and outperforming the GSCI Total Return Index. However, managers must take care to understand the unique pricing and trading characteristics of GSCI futures to ensure optimal results. There are several basic steps managers should take to improve their performance:
1. Be aware of the GSCI futures fair-value calculator in the CME pit and its limitations.
2. If possible, construct an in-house real-time fair-value calculator.
3. Understand why the futures may trade away from fair-value during certain times of the day and under certain market conditions.
4.Use the flexibility of rolling GSCI futures to roll anywhere between the first and 11th business days of the month.
More experienced managers may want to consider the following proposals:
1. Constantly examine the GSCI futures curve for opportunities to roll further out, while understanding the trade-off between roll cost, trading spreads and basis risk.
2. Consider using covered calls in neutral-to-bearish environments.
3. Consider trading one or two underlying commodities as overlays on the GSCI futures position. Crude oil is a natural place to start.
4. Manage the collateral as aggressively as possible, while understanding that the GSCI has a zero duration cash return calculation.
The management of GSCI Total Return accounts is still a relatively new business area for most organizations, and aggressive managers should be able to find numerous ways to add value.