What Is the Hedge Ratio?
The hedge ratio is the proportion of a position's size that is offset by a hedging instrument. More precisely, it is the ratio of the notional value (or risk exposure) of the hedging position to the notional value (or risk exposure) of the underlying position being hedged.
A hedge ratio of 1.0 means the hedge is fully sized to offset 100% of the risk — a complete hedge. A ratio of 0.5 means only half the risk is hedged (a partial hedge). A ratio of 0.0 means no hedge at all. In practice, hedge ratios above 1.0 can also occur — called over-hedging — where the hedging position is actually larger than the underlying exposure, sometimes intentionally when the hedge instrument has a lower sensitivity to the risk factor than the underlying position.
Hedge ratios are used across virtually every asset class and market:
- Equity portfolios: Shorting index futures or buying put options to protect against market downturns.
- Commodities: Producers use futures contracts to lock in selling prices; consumers use them to lock in input costs.
- Currencies: Multinational corporations hedge foreign revenue streams using forward contracts or options.
- Fixed income: Duration-sensitive portfolios use interest rate swaps or Treasury futures to manage rate risk.
- Individual stocks: Long-term investors buy put options to protect specific equity positions without selling them.
In each case, the hedge ratio answers the same fundamental question: given the risk I'm trying to reduce, how many units of the hedging instrument do I need to hold? Too few and the protection is inadequate; too many and the hedge itself becomes a source of risk and cost without proportional benefit.
Determining the Level of Protection
The hedge ratio is not a binary on/off decision — it is a continuous parameter that allows investors to dial in exactly how much risk they want to retain and how much they want to eliminate. This flexibility is one of hedging's most powerful and underappreciated features.
Full hedge vs partial hedge vs no hedge
| Hedge Ratio | Target Beta | Risk Retained | Scenario |
|---|---|---|---|
| 1.0 (Full) | β = 0 | ~0% | Full protection — portfolio moves like cash during market declines |
| 0.75 (Partial) | β = 0.25 of original | ~25% | Reduces downside while retaining some upside participation |
| 0.50 (Half) | β = 0.50 of original | ~50% | Half the portfolio risk remains — common for cost-conscious hedging |
| 0.25 (Light) | β = 0.75 of original | ~75% | Token hedge — provides some comfort but limited real protection |
| 0.0 (None) | β = original | 100% | Fully exposed — no protection against adverse moves |
What determines the right hedge level?
Choosing the appropriate hedge ratio is as much a strategic decision as a mathematical one. Several factors influence where on this spectrum an investor should position:
- Cost of hedging: Options premiums and futures margin create a real cost. A full hedge may eliminate all downside risk but also eliminates all upside — and costs money to maintain. The optimal hedge is often partial, balancing protection cost against the value of the protection.
- Investment horizon: Short-term hedges around events (earnings, Fed announcements) are often full hedges. Long-term structural hedges are more often partial, designed to smooth volatility rather than eliminate all market exposure.
- Conviction level: An investor who is highly confident in a portfolio's long-term performance but concerned about short-term volatility might hedge to reduce beta to 0.5, retaining half the market exposure while protecting against severe downturns.
- Regulatory and mandate constraints: Pension funds and endowments often have mandated minimum levels of market exposure. A defined contribution plan might be required to maintain at least 60% equity exposure — limiting the hedge ratio ceiling.
- Hedge instrument available: If the available hedge instrument (e.g., a broad market ETF) doesn't track the portfolio closely, a higher hedge ratio may be needed to achieve the desired protection level — or the expected effectiveness must be calculated explicitly using the minimum variance method.
Hedging as Risk Management — Why It Matters
Hedging is not speculation — it is risk transfer. A hedger knowingly gives up some potential upside in exchange for reduced downside. This trade-off is rational and valuable in many contexts, particularly when:
1. Protecting unrealized gains in concentrated positions
An investor holding a large, highly appreciated stock position faces a dilemma: selling crystallizes a large capital gains tax liability; holding leaves the position exposed to a potential reversal that could wipe out years of gains. Buying protective puts or collars (buying puts, selling calls) provides downside protection while deferring the tax event — at the cost of the option premium. The hedge ratio determines how many put contracts are needed to protect a specified percentage of the position's value.
2. Managing market risk during adverse macro environments
During periods of anticipated volatility — an approaching recession, a central bank meeting with uncertain outcomes, geopolitical escalation — portfolio managers reduce their net market exposure by shorting index futures. The beta hedge formula precisely determines how many contracts to short to achieve a target beta level. A portfolio manager might reduce beta from 1.2 to 0.5 for the duration of an uncertain period, then reopen the exposure when the risk event passes.
3. Hedging input costs for commodity users
An airline with fixed-price ticket revenue but variable fuel costs faces enormous profitability risk from oil price fluctuations. By buying crude oil futures, the airline locks in a forward fuel price — transferring the commodity price risk to a speculator willing to take the other side. The minimum variance hedge ratio determines the exact number of futures contracts needed to offset the airline's exposure, accounting for the imperfect correlation between jet fuel prices and crude oil futures (the basis risk).
4. Cross-hedging when a perfect hedge instrument doesn't exist
Sometimes no futures or options contract exists for the exact asset being hedged. A holder of a mid-cap stock portfolio might hedge using S&P 500 futures even though the portfolio's composition differs from the index. The minimum variance hedge ratio (MVHR) accounts for this imperfect correlation by scaling the hedge size by the ratio of the portfolio's volatility to the hedge instrument's volatility — ensuring the variance reduction is maximized even when the hedge instrument is not a perfect substitute.
5. Managing earnings risk around options expiration
Options market makers who sell calls or puts to clients must continuously maintain a delta-neutral position by buying or selling the underlying stock. The delta hedge ratio changes continuously as the underlying price moves (gamma exposure) — which is why professional options desks recalculate and rebalance their delta hedges intraday. Our calculator provides the starting delta hedge ratio and total cost for any delta-neutral position.
Beta Hedging — The Equity Portfolio Method
Beta hedging is the most widely used hedging method for equity portfolios. It uses the portfolio's beta — its sensitivity to the market benchmark — to determine how many index futures or ETF shares must be shorted to achieve a target level of market exposure.
The logic is straightforward: if a portfolio has a beta of 1.5, it moves 1.5% for every 1% move in the market. To fully eliminate market risk (reduce beta to 0), the portfolio manager must short enough market exposure to offset the 1.5× amplification. For a partial hedge — reducing beta to 0.5 — only enough shorts to neutralize 1.0 units of beta are needed.
N = (β_target − β_portfolio) × (Portfolio Value / Contract Value)
Where:
N = Number of contracts to short (negative = short)
β_target = Desired beta after hedge (0 = full hedge)
β_portfolio = Current portfolio beta (weighted average)
Portfolio Value = Current market value of the portfolio
Contract Value = Futures price × Contract multiplier
Note: N is negative (short) for downside hedges where β_target < β_portfolio
Round N to the nearest whole number (you can only trade whole contracts)
Example:
Portfolio: $500,000 | β = 1.25 | Target β = 0
E-Mini S&P 500 at $5,250 × multiplier 50 = $262,500/contract
N = (0 − 1.25) × ($500,000 / $262,500) = −2.38 → Short 2 contracts
Understanding the rounding problem
The raw hedge ratio is rarely a whole number, and since futures contracts are indivisible, you must round to the nearest integer. This creates a residual beta — the remaining market exposure after the rounded hedge. For large portfolios, this residual is small and acceptable. For smaller portfolios where the contract value is large relative to the portfolio, the residual can be significant. In these cases:
- Use smaller contract sizes — micro futures (1/10 the size of E-Mini) or ETF shares (multiplier = 1) allow much finer precision.
- Accept the residual beta as immaterial, since the rounding error is typically less than 0.1–0.2 units of beta.
- Combine a futures hedge with a small complementary ETF position to fine-tune the residual.
- Portfolio: $100,000 | Beta: 1.0 | Target Beta: 0
- SPY ETF at $525/share, multiplier = 1 → $525/unit
- Raw ratio = 1.0 × $100,000 / $525 = 190.48 → Short 190 SPY shares
- Notional = 190 × $525 = $99,750 (99.75% coverage)
- Residual beta = 1.0 − (190 × 525 / 100,000) = 0.0025 → ✅ Precise
Using ETF shares instead of E-Mini contracts gives 190× more granularity — nearly perfect coverage for small portfolios.
Minimum Variance Hedge Ratio (MVHR)
The Minimum Variance Hedge Ratio (MVHR), developed by Johnson (1960) and Stein (1961), is the statistically optimal hedge ratio for minimizing the total variance of a hedged position. Unlike the beta hedge — which uses a single beta number — the MVHR is calculated from the full historical return series of both the spot asset and the hedge instrument, capturing their actual correlation and relative volatility.
The MVHR is mathematically equivalent to the OLS regression slope when you regress the spot asset's returns on the hedge instrument's returns. This makes it naturally interpretable: it tells you how much the hedge instrument typically moves for every unit of movement in the spot asset, adjusted for their relative volatilities.
h* = ρ × (σ_S / σ_F)
Where:
h* = Optimal (minimum variance) hedge ratio
ρ = Pearson correlation between spot and hedge instrument returns
σ_S = Standard deviation of spot asset returns
σ_F = Standard deviation of hedge instrument returns
Equivalent OLS formulation:
h* = Cov(S, F) / Var(F) [same as OLS regression slope]
Hedge effectiveness = ρ²
→ proportion of spot variance eliminated by the optimal hedge
Variance reduction % = (1 − √(Var_hedged) / σ_S) × 100
→ how much volatility is removed from the hedged position
When to use MVHR instead of beta hedging
| Situation | Beta Hedge | MVHR |
|---|---|---|
| Equity portfolio hedged with index futures | ✅ Standard choice | Either works |
| Commodity hedging (oil, corn, metals) | ❌ No beta concept | ✅ Correct method |
| Cross-hedge (different but correlated assets) | ❌ Beta not defined | ✅ Captures basis risk |
| Currency hedging with related pair | ❌ Not applicable | ✅ Captures cross-rate correlation |
| Fixed income duration hedging | ❌ Not applicable | ✅ Via duration regression |
| Hedge effectiveness measurement required | Approximate | ✅ Exact (ρ²) |
Hedge effectiveness — the key quality metric
The MVHR's hedge effectiveness is measured by ρ² — the square of the correlation between spot and hedge instrument returns. A hedge effectiveness of 90% (ρ = 0.95) means that 90% of the position's variance is eliminated by the optimal hedge. The remaining 10% is basis risk — the component of risk that the hedge instrument cannot capture because the spot and futures prices don't move perfectly together.
For financial reporting under ASC 815 (US GAAP) and IFRS 9, a hedging relationship must demonstrate effectiveness above 80% to qualify for hedge accounting treatment — making ρ² a critical metric for corporate treasury hedging programs.
Options Delta Hedging
Delta hedging is the options-based approach to hedging individual stock positions. It uses an option's delta — the rate of change of the option's price with respect to the underlying stock price — to determine how many option contracts are needed to neutralize the directional risk of a stock position.
For a long stock position, the natural hedge is to buy put options. A put option with a delta of −0.50 gains $0.50 for every $1 the stock falls. To fully offset the delta of 1,000 long shares (+1,000 delta), you need enough puts to generate a hedge delta of −1,000.
Contracts = ceil((Shares × Coverage%) / (|Delta| × Contract Size))
Where:
Shares = Number of shares in the long position
Coverage% = Desired hedge percentage (100% = full delta hedge)
|Delta| = Absolute value of put option delta (0.40–0.60 for ATM puts)
Contract Size = Shares per options contract (100 for standard equity options)
Net Delta After Hedge = Position Delta + Hedge Delta
Position Delta = +Shares (long stock)
Hedge Delta = −(Contracts × |Delta| × Contract Size)
Example:
1,000 shares | Delta = 0.50 | Contract Size = 100 | Coverage = 100%
Contracts = ceil(1,000 × 100% / (0.50 × 100)) = ceil(20) = 20 puts
Hedge Delta = −(20 × 0.50 × 100) = −1,000
Net Delta = +1,000 − 1,000 = 0 (delta-neutral)
Delta vs hedge ratio in options context
The delta itself is the per-share hedge ratio — it tells you how many units of the underlying are equivalent to one option. An at-the-money (ATM) put with delta = 0.50 is equivalent to being short 50 shares per contract (100 shares × delta 0.50). Buying one ATM put contract therefore hedges 50 shares of long stock exposure.
Deep in-the-money puts (delta near −1.0) hedge more efficiently per contract but are more expensive and have less time value benefit. Out-of-the-money puts (delta near −0.20) are cheaper but require more contracts to achieve the same hedge delta, and only provide protection below the strike price. The choice of delta (and therefore strike) is a cost vs protection trade-off that our calculator allows you to model explicitly.
| Put Delta | Strike Type | Contracts for 1,000 shares | Hedge Cost | Coverage Profile |
|---|---|---|---|---|
| 0.80 | Deep ITM | 13 contracts | Very high premium | Covers immediately, high time value |
| 0.50 | At-the-money | 20 contracts | Moderate premium | Most popular — balanced cost/protection |
| 0.30 | OTM (5–10%) | 34 contracts | Low premium | Cheaper but only activates below strike |
| 0.15 | Far OTM | 67 contracts | Very cheap | Tail-risk only — minimal protection |
Applications in Derivatives Markets
Index futures for portfolio hedging
The most liquid and cost-efficient vehicle for hedging large equity portfolios is index futures — particularly the CME E-Mini S&P 500 (ES), Nasdaq 100 (NQ), and Russell 2000 (RTY) futures. These contracts have enormous open interest, tight bid-ask spreads, and 24-hour liquidity. The contract multiplier (50 for E-Mini S&P 500) determines the notional value per contract: at an index level of 5,250, each E-Mini contract represents $262,500 of S&P 500 exposure.
For very small portfolios where full-size E-Mini contracts are too large, Micro E-Mini futures (1/10 the size, multiplier = 5) provide 10× more granularity — allowing portfolios as small as $25,000–$50,000 to be precisely hedged without significant over- or under-hedging.
ETF short selling for smaller portfolios
For accounts that cannot trade futures (IRAs, certain institutional mandates), shorting ETFs — SPY, QQQ, IWM, sector ETFs — provides equivalent hedge functionality with higher granularity (multiplier = 1, so each share = $1 of hedge per dollar of ETF price). ETF hedges are more expensive than futures due to the stock borrow cost, but more accessible and more flexible in sizing.
Commodity futures and basis risk
Commodity hedgers (oil producers, agricultural processors, metal fabricators) face a structural challenge: the futures contract they use to hedge often doesn't perfectly track the spot price of their specific commodity. An oil producer in West Texas hedges WTI crude futures, but their actual output may price off a regional crude grade with a different basis. The MVHR explicitly accounts for this basis risk through the correlation coefficient — the lower the correlation, the smaller the optimal hedge ratio (you don't want to over-hedge a poorly correlated instrument).
Currency forward contracts
A US company with €10 million in European revenue faces euro/dollar exchange rate risk. Selling euros forward locks in the exchange rate, but the hedger must decide what proportion of the exposure to hedge. The MVHR calculated from historical EUR/USD and forward rate movements provides the statistically optimal proportion — typically close to 1.0 for major currency pairs where spot and forward prices are highly correlated, but potentially less for emerging market currencies where forward contract liquidity is limited.
Core Formulas — Quick Reference
| Method | Formula | Best For |
|---|---|---|
| Beta Hedge | N = (β_target − β_portfolio) × (Portfolio Value / Contract Value) | Equity portfolios vs index futures/ETFs |
| MVHR | h* = ρ × (σ_S / σ_F) = Cov(S,F) / Var(F) | Commodities, currencies, cross-hedges |
| Options Delta | Contracts = ceil(Shares × Coverage% / (|Δ| × Contract Size)) | Individual stock delta-neutral hedging |
| Portfolio Beta | β_p = Σ (w_i × β_i) where w_i = Value_i / Total Value | Multi-asset portfolio hedge sizing |
| Hedge Effectiveness | Effectiveness = ρ² | Measuring quality of MVHR hedge |
| Contract Value | Contract Value = Instrument Price × Multiplier | All futures-based hedges |
How to Use Our Hedge Ratio Calculator Pro — Tab by Tab
Our Hedge Ratio Calculator Pro covers the full spectrum of hedge ratio methodologies in five dedicated tabs. Each tab is designed for a specific hedging context and can be used independently.
Tab 1: Beta Hedge — Equity portfolio hedging
Enter your portfolio value, weighted average beta, the hedge instrument name and price, contract multiplier, and target beta. The calculator computes:
- Number of contracts to short (hero display) with Short/Long label
- Raw hedge ratio (exact fractional value before rounding)
- Hedge notional value and coverage % of portfolio
- Beta reduction and effective beta after hedge
- Estimated hedge cost (bid-ask + commission proxy ~0.1% of notional)
- Hedge quality rating (✅ Precise / 🟡 Approximate / ⚠️ Rounding Error)
- Contextual alert with explanation and improvement suggestions
- Line chart comparing portfolio return vs market under hedged and unhedged conditions
- Portfolio: $500,000 | Beta: 1.25 | Target β: 0
- E-Mini S&P 500 at $5,250 × multiplier 50
→ Short 2 contracts | Raw ratio: 2.381 | Notional: $525.0K | Coverage: 105.00% | Eff. Beta: 0.0000 | Quality: ✅ Precise
Tab 2: Min-Variance — MVHR from return series
Paste your spot asset and hedge instrument return series (one per line or comma-separated, decimal or percentage format). The calculator runs OLS regression to compute:
- MVHR (h*) as the hero — the optimal hedge size per unit of spot exposure
- Correlation (ρ), asset volatility (σ_S), hedge instrument volatility (σ_F)
- Hedge effectiveness (ρ²) — % of variance eliminated
- Volatility reduction % — how much the hedged position's volatility falls
- Unhedged and hedged variance (for reporting and comparison)
- Scatter plot of spot vs hedge returns with MVHR regression line
→ h*: 1.1108 | ρ: 0.9994 | σ_S: 4.72% | σ_F: 4.25% | Effectiveness: 99.87% | Vol Reduction: 96.43%
Tab 3: Options — Delta-neutral hedging for stock positions
Enter shares held, stock price, option delta, contract size, option premium, and desired coverage %. The calculator computes:
- Put contracts needed (hero) — ceiling-rounded for full coverage
- Position delta (+shares), hedge delta (−contracts × Δ × size), net delta
- Position value, total hedge cost in dollars, cost as % of position value
- Shares hedged and raw hedge ratio
- P&L profile chart: hedged vs unhedged across ±20% stock price moves
- 1,000 shares | Stock: $150 | Delta: 0.50 | Size: 100 | Premium: $3.50 | Coverage: 100%
→ 20 put contracts | Net Δ: 0.00 | Cost: -$7,000 | Cost%: 4.67%
Tab 4: Portfolio — Multi-asset weighted beta and hedge
Enter each holding (ticker, shares, price, beta) in a dynamic table — up to 10 positions. Set the hedge instrument price and multiplier at the top. The calculator computes per-position market value, weight, and beta contribution, plus portfolio-level weighted beta, total value, contracts to short, and raw ratio. A color-coded bar chart shows each position's contribution to total portfolio beta — instantly revealing which holdings are driving the most market risk.
- AAPL (200sh×$150×β1.2) + MSFT (100sh×$400×β0.9) + TSLA (50sh×$200×β2.0) + SPY (300sh×$500×β1.0)
- Total: $230,000 | Portfolio β: 1.0522
→ Short 1 contract (E-Mini at $5,250 × 50 = $262,500) | Raw: 0.922 | SPY dominates beta contribution at 0.6522
Tab 5: Scenarios — Sensitivity analysis across beta ranges
Set portfolio value, hedge price, and multiplier. Choose whether to vary portfolio beta (0.5→2.0) or target beta across a custom range. The calculator generates a full scenario table showing raw ratio, contracts, notional, coverage %, and effective beta at each step. A line chart plots contracts required vs the scenario variable — visually showing the "staircase" pattern created by the integer rounding of contracts.
This tab answers the critical pre-hedging question: how does my hedge requirement change if my portfolio beta is higher or lower than estimated? Since beta estimates are never perfectly precise, understanding the sensitivity helps budget for rebalancing needs.
Common Hedging Mistakes
1. Using the wrong hedge ratio methodology for the asset class
Beta hedging is designed for equity portfolios — it is meaningless for commodity or currency hedges where "beta" has no natural definition. Using a simple 1:1 notional ratio for a commodity hedge ignores the relative volatility of the spot and futures markets and will systematically over- or under-hedge. The MVHR is the correct tool for commodity, currency, and cross-hedging situations.
2. Ignoring basis risk
Basis risk is the risk that the hedge instrument doesn't perfectly track the position being hedged. A mid-cap portfolio hedged with S&P 500 E-Mini futures has basis risk — the mid-cap portfolio may fall more or less than the S&P 500 during a market decline. The MVHR explicitly quantifies this through ρ² (hedge effectiveness). A low ρ² signals high basis risk and an imperfect hedge — the investor should either find a better correlated instrument or accept that the hedge will only partially protect against adverse moves.
3. Forgetting to rebalance as conditions change
A hedge ratio calculated using a portfolio beta of 1.2 becomes inaccurate as the portfolio's composition changes, individual stock betas shift with market regimes, or the hedge instrument price moves significantly. Professional hedgers rebalance their hedges monthly or quarterly — or whenever the portfolio's beta has drifted more than 0.1–0.2 units from the original estimate. Our Scenarios tab shows how the required contracts change with different beta estimates, helping you plan for rebalancing needs.
4. Treating the hedge cost as zero
Futures hedges require margin — typically 5–15% of notional. Options hedges require the premium in cash up front. ETF short hedges incur borrowing costs of 0.5–3% per year. Over a long period, these costs compound and significantly reduce the net benefit of the hedge. A portfolio that hedges continuously at a cost of 1.5% per year gives up 15% of cumulative return over 10 years. Hedging should be tactical — used during periods of elevated risk — rather than permanent, unless the cost is explicitly justified by the mandate.
5. Over-hedging a concentrated position beyond the portfolio's tolerance
A hedge ratio above 1.0 means the hedge notional exceeds the portfolio value. While this might occasionally be appropriate (e.g., hedging a position whose beta exceeds 1.0 using a 1× instrument), persistent over-hedging creates a net short market position — which generates losses when the market rises. This is the opposite of the intended effect for a long-term investor and should be an intentional, reviewed decision rather than an accidental outcome of using a high-beta portfolio with a round-number contract size.
Frequently Asked Questions
What is the hedge ratio in simple terms?
The hedge ratio is the proportion of your position that is protected by your hedge. A hedge ratio of 1.0 means 100% of your exposure is hedged — a full hedge. A ratio of 0.5 means half your exposure is protected. In practice, the hedge ratio tells you exactly how many contracts, shares, or units of a hedging instrument you need to hold to achieve your desired level of protection.
How do I calculate the number of futures contracts to hedge my portfolio?
Use the beta hedge formula: N = (β_target − β_portfolio) × (Portfolio Value / Contract Value), where Contract Value = Futures Price × Multiplier. For a full hedge (β_target = 0), this simplifies to N = −β_portfolio × Portfolio Value / Contract Value. Round to the nearest whole number and short that many contracts. Example: $500,000 portfolio with beta 1.25, E-Mini S&P 500 at $5,250 × 50 = $262,500 → N = −1.25 × $500,000 / $262,500 = −2.38 → short 2 contracts.
What is the minimum variance hedge ratio (MVHR) and when should I use it?
The MVHR (h* = ρ × σ_S / σ_F) is the statistically optimal hedge ratio, calculated from historical returns. It should be used when: (1) hedging commodities, currencies, or fixed income where beta is not applicable; (2) the hedge instrument is not a perfect substitute for the spot position (basis risk exists); (3) you need to measure hedge effectiveness for accounting purposes (ρ² must exceed 80% for ASC 815 / IFRS 9 hedge accounting). For equity portfolios hedged with closely tracking index instruments, beta hedging is simpler and equally effective.
How many put options do I need to delta-hedge 1,000 shares?
It depends on the put's delta. Formula: Contracts = ceil(Shares × Coverage% / (|Delta| × Contract Size)). For ATM puts (delta = 0.50) and 100% coverage: ceil(1,000 × 100% / (0.50 × 100)) = 20 contracts. This gives a total hedge delta of −(20 × 0.50 × 100) = −1,000, exactly offsetting the +1,000 position delta for a net delta of zero (delta-neutral).
What is hedge effectiveness and why does it matter?
Hedge effectiveness = ρ² (the square of the correlation between spot and hedge instrument returns). It measures what percentage of the position's variance is eliminated by the optimal hedge. At ρ = 0.95, effectiveness = 90.25% — the hedged position has only 9.75% of its original variance. For accounting purposes (ASC 815 / IFRS 9), effectiveness must exceed 80% to qualify for hedge accounting treatment. Below 70% effectiveness, the hedge instrument is a poor match and should be reconsidered.
Why does my effective beta after hedge not equal exactly my target beta?
Because futures contracts are indivisible — you can only trade whole contracts. If the exact hedge requires 2.38 contracts but you can only short 2 or 3, the residual beta (remaining market exposure after the rounded hedge) will differ slightly from your target. This rounding error is typically small. For better precision: (1) use micro futures (1/10 the size) for 10× more granularity; (2) use ETF shares (multiplier = 1) for even finer sizing; (3) accept the small residual as immaterial for large portfolios.
What is portfolio beta and how is it calculated?
Portfolio beta = Σ (weight_i × beta_i), where weight_i = Market Value of Position i / Total Portfolio Value. It is the weighted average of individual position betas. A portfolio equally split between a β=0.8 stock and a β=1.6 stock has a portfolio beta of 1.2. Portfolio beta determines the number of index futures contracts needed to reduce market exposure — a higher portfolio beta requires more contracts to hedge.
What is basis risk in hedging and how do I measure it?
Basis risk is the risk that the hedging instrument doesn't perfectly track the position being hedged. It arises from differences in composition (e.g., your stock portfolio vs the S&P 500 index), location (e.g., West Texas crude vs North Sea Brent), grade (e.g., No. 2 corn vs Chicago corn futures), or timing (e.g., mismatched delivery dates). Basis risk = 1 − ρ² (the complement of hedge effectiveness). A correlation of 0.90 gives basis risk = 19% — 19% of the position's variance cannot be hedged. The MVHR minimizes variance even in the presence of basis risk by scaling the hedge ratio to the actual return relationship.
Is the Hedge Ratio Calculator free to use?
Yes. The Hedge Ratio Calculator Pro on StockToolHub is completely free with no registration, account, or subscription required. All five tabs — Beta Hedge, Min-Variance, Options, Portfolio, and Scenarios — are fully accessible with no limitations and no sign-up required.
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