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Optimal Hedge Ratio and Futures Hedge Calculator

Find the hedge ratio that minimizes risk from volatilities and correlation or from your own price data, then turn it into a number of futures contracts: stock index futures to change a portfolio's beta, or commodity futures for a physical exposure.

Updated Oct 16, 2026Free · no sign-upFormulas tested

Your inputs

Find the hedge ratio that minimizes the variance of a hedged position, from volatilities and correlation or from pasted price changes.

Inputs
%
Standard deviation of the asset you want to protect, over the hedge horizon or annualized.
%
Same basis as the spot volatility (both annual or both monthly).

Results

Minimum-variance hedge ratio h*0.750ρ × σS ÷ σF = 0.900 × 20.0% ÷ 24.0%
Hedge effectiveness (R²)
81.0%
Share of the variance the hedge removes
Volatility left after hedging
8.72%
From 20.00% unhedged: σS × √(1 − ρ²)
Volatility with a 1:1 hedge
10.58%
Removes 72.0% of the variance, less than h*

Hedge with $0.75 of futures for each $1 of exposure, on the opposite side. That removes 81% of the variance; the remaining 19% is basis risk, the part of the spot price the futures do not track.

Volatility of the hedged position by hedge ratio

0%10%20%30%0.000.260.530.791.051.311.58Unhedgedh* = 0.751:1

Too small a hedge leaves price risk; too large a hedge adds risk from the futures. The low point is the minimum-variance ratio.

Results are estimates from the numbers you enter. They are not financial, tax or legal advice.

How to use the hedge ratio calculator

The page has three tools that build on each other.

Minimum variance finds the best hedge ratio. Choose how to give the inputs:

  1. Volatilities and correlation: the volatility of the exposure (spot), the volatility of the hedging instrument and their correlation, all measured on the same basis. The correlation calculator estimates the correlation from returns.
  2. Paste price changes: two columns of changes over the same periods, ideally periods as long as the hedge will last. The example is 24 fictional monthly changes in a spot fuel price and a related futures price, in cents per gallon. The calculator runs the regression for you.

Index futures (beta) sizes a stock index futures hedge. Enter the portfolio value, its beta, the target beta, the futures price and the contract. The presets are the CME E-mini S&P 500 ($50 per point), Micro E-mini S&P 500 ($5), E-mini Nasdaq-100 ($20) and Micro E-mini Nasdaq-100 ($2). The beta calculator measures the portfolio’s beta against the index.

Commodity hedge turns a hedge ratio into contracts for a physical exposure. Enter the quantity, the contract size, the hedge ratio and whether you will buy the commodity or already own it.

The formulas

h* = ρ × σS ÷ σF   Hedge effectiveness = ρ2
σhedged = √(σS2 + h2σF2 − 2hρσSσF), at h*: σS × √(1 − ρ2)σS and σF are the standard deviations of spot and futures changes over the hedge horizon and ρ their correlation. From pasted data, h* is the least-squares slope of spot changes on futures changes.
N = (βtarget − β) × V ÷ (F × m)V is the portfolio value, β its beta against the index, F the futures price in index points and m the dollars per point. A negative N means sell contracts.
N = h* × QA ÷ QF   or, with values, N = h* × (S × QA) ÷ (F × QF)QA is the quantity exposed and QF the size of one contract. Use quantities when h* comes from price changes, and values (S and F are the spot and futures prices) when it comes from percentage returns. The value version is often called tailing the hedge.

A worked example

Minimum variance. An exposure has 20% volatility, the futures 24%, and they correlate at 0.9. The hedge ratio is 0.750 dollars of futures per dollar of exposure. It removes 81.0% of the variance and cuts volatility from 20% to 8.72%. A one-for-one hedge would leave 10.58%.

From the pasted fuel data, the regression gives a hedge ratio of 0.778 with a correlation of 0.900, and R² of 81.0%.

Index futures. A $5,000,000 portfolio has a beta of 1.2 and the manager wants 0.5. One E-mini contract at 6,500 points controls $325,000. The exact answer is -10.77 contracts (minus means sell), so the manager sells 11, which brings the beta to 0.485. In a 10% market fall, the expected market-driven P&L improves from -$600,000 to -$242,500.

Commodity hedge. A buyer needs 2,000,000 units of fuel and hedges with contracts of 42,000 units at a ratio of 0.75. That is 35.71 contracts, rounded to 36, covering 1,512,000 units.

Why the best hedge is often less than one to one

A hedge adds a second source of risk: the futures position. If the futures were a perfect copy of the exposure, the risk added would exactly cancel the risk removed, and a 1:1 hedge would leave nothing. In practice the hedging instrument differs in grade, location, maturity or composition, so part of its movement is unrelated to the exposure.

The minimum-variance ratio balances the two. It is the correlation times the ratio of the volatilities, so it falls below 1 whenever the futures are at least as volatile as the exposure and the correlation is imperfect. It can exceed 1 when the futures are much calmer than the exposure. The chart on the first tool shows the trade-off: hedged volatility falls as the ratio rises toward h*, then climbs again as the futures position starts to dominate.

The correlation matters most:

Correlation Hedge ratio Variance removed Volatility left With a 1:1 hedge
0.5 0.417 25.0% 17.32% 22.27%
0.7 0.583 49.0% 14.28% 17.44%
0.9 0.750 81.0% 8.72% 10.58%

Effectiveness falls quickly as correlation drops: at 0.5 the best hedge removes only a quarter of the variance, and the 1:1 hedge leaves the position more volatile than the 20% it started with.

Hedging beta with index futures

For an equity portfolio, beta plays the role of the hedge ratio. A portfolio with a beta of 1.2 moves, on average, 1.2% for each 1% move in the index, so hedging it needs futures worth 1.2 times its value, not 1 times. Setting a target beta between zero and the current beta reduces market exposure without selling any stocks, which keeps the stock selection, avoids realizing gains, and is fast and cheap to reverse.

Two practical points change the count. Rounding: with E-minis, each contract moves the beta of the example portfolio by 0.065; the Micro contract cuts that tenfold, and 108 MES contracts land at a beta of 0.498. Matching the index: the beta must be measured against the index the futures track. A technology-heavy portfolio hedged with S&P 500 futures keeps the risk of technology moving differently from the broad market.

A beta hedge removes market risk, not stock-specific risk: the hedged portfolio still gains or loses on how its stocks do relative to the index.

What this calculator does not include

  • Changing ratios. Volatilities, correlations and betas drift; hedge ratios need re-estimating and hedges re-sizing over time.
  • Futures pricing details. The basis between futures and spot, dividends, financing and the roll from one contract month to the next are not modeled.
  • Margin and cash flows. Futures are marked to market daily, so a hedge that works over its life can still need cash for variation margin along the way.
  • Accounting and tax. Hedge accounting tests and the tax treatment of futures gains and losses are separate questions.
  • Non-linear exposures. Options, or quantities that themselves depend on price, need more than a single ratio.

Frequently asked questions

What is the minimum-variance hedge ratio?
It is the number of units of a hedging instrument per unit of exposure that makes the hedged position as stable as possible: h* = ρ × σS ÷ σF, the correlation times the ratio of the two volatilities. It equals the slope of a regression of spot price changes on futures price changes. With the example's 0.9 correlation, 20% spot volatility and 24% futures volatility, h* is 0.750.
How do you measure hedge effectiveness?
As the share of the exposure's variance the hedge removes. For the minimum-variance hedge this equals R², the squared correlation between spot and futures changes. The example's correlation gives 81.0%. Under US GAAP and IFRS, hedge accounting has its own effectiveness tests, which this figure does not replace.
How many S&P 500 futures do I need to hedge a portfolio?
Multiply the change in beta you want by the portfolio value and divide by the futures price times the contract multiplier: N = (target beta − current beta) × V ÷ (F × multiplier). Fully hedging the example's $5,000,000 portfolio with a beta of 1.2 means selling 18 E-mini contracts at a price of 6,500 points.
Why not just hedge one for one?
A 1:1 hedge is only optimal when the futures move exactly with the exposure. If the futures are more volatile or not perfectly correlated, a 1:1 hedge over-hedges and adds risk from the futures themselves. In the example, the 1:1 hedge leaves 10.58% volatility against 8.72% for h*.
What is basis risk?
The risk that the price of the hedging instrument does not move exactly with the price of the exposure, because they are different assets, different locations or grades, or different dates. It is the part of the risk a hedge cannot remove. In variance terms it is 1 − R² of the exposure's variance.

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This calculator is for education and planning. It uses the formulas described above and the inputs you provide; real results depend on fees, taxes, timing and other details that a general tool cannot know. PromtFinance does not give personal financial advice. Check important decisions with your provider or a qualified professional.