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How do you calculate the optimal hedge ratio for a futures hedge?

The minimum variance hedge ratio from twelve months of price changes, the number of futures contracts, and why a one-for-one cross hedge leaves almost twice the residual risk.

The optimal (minimum variance) hedge ratio is the correlation between changes in the price you pay and changes in the futures price, times the ratio of their volatilities: h* = ρ × σS / σF. On twelve months of illustrative data, a correlation of 0.9233 and a volatility ratio of 0.6426 give a hedge ratio of 0.5933: 237 contracts for 10,000 tonnes, not 400. Hedging one for one would leave almost twice the residual risk.

Worked in full in Derivatives by Julian R. Sterling, with every figure reproduced in a free workbook.See the book on Amazon →

The case

A manufacturer buys 10,000 tonnes a month of a grade of metal that has no futures contract of its own. Its physical price is a regional price that follows the exchange contract but moves less, and not always in step. The exchange contract is 25 tonnes. Before setting the hedge, the treasurer takes the last twelve monthly changes in both prices, per tonne. The data are illustrative.

Monthly price changes, per tonne
MonthPhysical price change (ΔS)Futures price change (ΔF)
13070
2−13−60
3112135
4−75−55
55440
6−105−160
72880
83055
9−28−95
104395
11−16−50
1266120

Step 1: volatility and correlation of the changes

Work on changes, never on price levels. The sample standard deviation of the physical changes is 60.89 a tonne and of the futures changes 94.76. Their covariance is 5,327.50, so the correlation is 5,327.50 / (60.89 × 94.76) = 0.9233. The physical price moves about two thirds as much as the futures (a volatility ratio of 0.6426), and in the same direction most of the time.

Step 2: the hedge ratio and the number of contracts

h* = ρ × σS / σF = 0.9233 × 60.89 / 94.76 = 0.5933

Contracts = h* × exposure / contract size = 0.5933 × 10,000 / 25 = 237.3, so 237 contracts

Excel: =SLOPE(dS,dF) returns 0.5933 directly; =RSQ(dS,dF) returns the hedge effectiveness

The hedge ratio is the slope of a regression of the physical change on the futures change, which is why SLOPE gives the same number. It answers one question: for each tonne of exposure, how many tonnes of futures minimise the variance of the combined position? Because the physical price is less volatile than the futures, the answer is well under one.

The result: what the hedge leaves behind

The variance of the hedged position is σS² + h²σF² − 2h × covariance. At the optimum this reduces to σS × √(1 − ρ²) = 23.39 a tonne, and the share of variance removed is ρ², 85.2 per cent.

Residual monthly risk on 10,000 tonnes
HedgeRatioContractsResidual sd per tonneMonthly sd on position95% one-month lossVariance removed
Unhedged0.0000060.89608,9111,001,5980.0%
Minimum variance0.593323723.39233,857384,67285.2%
Policy ratio of 80%0.800032030.50305,043501,76674.9%
One for one1.000040045.08450,786741,49845.2%

The one-for-one hedge, 400 contracts, feels safer and is not. It leaves a residual standard deviation of 45.08 a tonne against 23.39 at the optimum: 216,929 a month more risk on the position, because 163 of the 400 contracts are no longer hedging the metal but speculating on the futures. The 95 per cent one-month loss uses a normal multiplier of 1.6449.

Over-hedging a cross hedge does not add protection. Beyond the optimal ratio, each extra contract adds more futures risk than it removes physical risk, and at a ratio of one the position has given back almost half of the variance reduction available.

What if the correlation is lower?

The correlation does two jobs: it scales the hedge ratio and it caps how much risk any hedge can remove. Holding the volatility ratio at 0.6426:

Hedge ratio and effectiveness by correlation
CorrelationHedge ratioContractsVariance removedResidual sd per tonne
0.700.449818049.0%43.48
0.800.514120664.0%36.53
0.900.578323181.0%26.54
0.92330.593323785.2%23.39
0.950.610524490.2%19.01

At a correlation of 0.70 the best hedge removes less than half the variance. That is the point at which a treasurer should ask whether the futures contract is the right instrument at all, or whether a bilateral swap on the regional index, with its own credit and collateral cost, is worth paying for.

The common mistakes

Takeaway

Estimate ρ and both volatilities on price changes, multiply, and convert to contracts: 0.5933 and 237 contracts here, removing 85.2 per cent of the variance. The accounting test of the same hedge is a different calculation, worked in how to test hedge effectiveness with the dollar offset method, and what a hedge costs in cash and collateral rather than in variance is the subject of the free workbooks that go with the book.

Questions readers ask

Is the minimum variance hedge ratio the same as the regression beta?

Yes. Regressing the change in the hedged price on the change in the futures price gives a slope equal to correlation times the volatility ratio. In Excel, SLOPE on the two columns of changes returns 0.5933 in this case, and RSQ returns 0.8525, the share of variance the optimal hedge removes.

How do you convert a hedge ratio into a number of futures contracts?

Multiply the hedge ratio by the exposure and divide by the contract size, in the same units. Here 0.5933 times 10,000 tonnes divided by 25 tonnes a contract is 237.3, rounded to 237 contracts. If the ratio was estimated on percentage returns, first multiply by the value of the exposure over the value of one contract.

What hedge effectiveness can a cross hedge achieve?

At most the correlation squared. With a correlation of 0.9233 the best hedge removes 85.2 per cent of the variance; at 0.80 it removes 64.0 per cent and at 0.70 only 49.0 per cent. Whatever the number of contracts, the remaining basis risk cannot be hedged with that futures contract.

Read the whole case

This article is one calculation from Derivatives. The book takes the same case from first principles to the decision, chapter by chapter, and every figure it prints is a live formula in the free companion workbooks.

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