VOL-10 · Volatility

Volatility Risk Premium

Volatility Risk Premium (VRP) is the difference between implied and realized volatility. When VRP is high (implied > realized), sell volatility by holding the underlying. When VRP is negative, stay out as markets may be turbulent.

VolatilityRisk PremiumStatistical

At a glance

Best onEquity markets with VRP
Signal frequencyDaily
Typical holding periodDays to weeks
Asset classesIndex
Markets tested10
Data through2026-11-10

What the backtest shows

  • Beat buy-and-hold on 3 of 10 markets by annual return over 5 years.
  • Had a smaller maximum drawdown than buy-and-hold on 9 of 10 markets.
  • Best market by Sharpe ratio: DBC (Sharpe 1.07, CAGR 12.6%).
  • Weakest market: EURUSD=X (Sharpe -0.69, CAGR -4.4%).
  • Few or no trades in the window on UNG — treat those rows as a sign the rules rarely triggered, not as an edge.

Equity curve

0.542.795.057.309.55 201020122014201620182020202220242026
Volatility Risk Premium Buy & hold · SPY, 2010-01-04 → 2026-11-10, growth of 1

Score and risk profile

Arena Score: 53.4SPY, 5 years
Return quality · 30%41
Drawdown control · 25%47
Consistency · 20%56
Robustness · 15%64
Significance · 10%84

Each bar is a percentile against every strategy on the same market and window (100 = best).

How it held up in sell-offs (SPY)

PeriodStrategyBuy & hold
Q4 2018 sell-off-18.7%-19.2%
COVID crash (Feb–Mar 2020)-4.7%-33.7%
2022 bear market-8.9%-24.5%
Market above its 200-day average (annualized) · 81%+4.9%+12.5%
Market below its 200-day average (annualized) · 19%+5.8%+19.8%

Sell-off dates follow the US stock market. Above/below the 200-day average uses the previous day's position, so there is no look-ahead.

Out-of-sample check (SPY)

CheckValue
Chosen parameters on their 3-year training windows (average Sharpe)0.93
Same parameters in the following 6 months, when traded (Sharpe)0.62
Default parameters over the same months (Sharpe)0.82
Parameter re-selections / changes28 / 11
Parameter settings with a positive Sharpe (full history)9 of 9
Sharpe across settings: worst / median / best0.48 / 0.68 / 0.81

Out-of-sample periods start on 2013-01-04. Training-window figures are flattered by picking the best of 9 settings; the out-of-sample figure is what the strategy actually earned. A large drop, or a result that depends on one setting, points to overfitting. How walk-forward testing works.

Results by market (5 years)

MarketCAGRBuy & hold CAGRSharpeMax drawdownBuy & hold max DDVolatilityArena Score
DBCInvesco DB Commodity Index12.6%10.8%1.07-17.5%-27.3%11.8%84
USOUnited States Oil Fund7.5%20.2%0.76-12.2%-36.2%10.2%64
DBAInvesco DB Agriculture3.8%8.8%0.43-14.5%-15.9%10.1%58
SPYSPDR S&P 5004.3%11.6%0.43-14.4%-24.5%10.7%53
SLViShares Silver Trust3.5%15.2%0.36-32.2%-57.8%12.9%48
GLDSPDR Gold Shares3.6%16.4%0.35-25.4%-28.3%12.7%32
BTC-USDBitcoin0.7%2.6%0.10-19.7%-75.9%9.3%50
ETH-USDEthereum0.0%-15.1%0.05-25.3%-79.0%8.9%—
UNGUnited States Natural Gas-0.8%-30.7%-0.45-3.9%-93.3%1.8%—
EURUSD=XEUR/USD-4.4%-0.7%-0.69-22.4%-17.2%6.1%14

Strategy metrics use daily returns without trading costs. Buy-and-hold figures are for the same market and window. Rows are sorted by Sharpe ratio.

SPY across time windows

WindowTotal returnCAGRSharpeSortinoMax DDWin daysTrades
1 year+6.8%6.8%0.921.09-4.9%30%28
3 years+34.8%10.5%1.121.16-8.2%35%83
5 years+23.3%4.3%0.430.45-14.4%30%139
Full history+129.1%5.0%0.550.54-18.8%31%422

Rules

Entry

VRP > threshold (implied > realized)

Exit

VRP < 0 (realized catching up)

Indicators

Realized Vol = Std(returns) * sqrt(252)
Implied Vol proxy = Recent vol range
VRP = Implied - Realized

Inputs

Realized_Lookback = 20
VRP_Threshold = 0.02

Position sizing

Fixed 100% allocation

Risk controls

Exit when VRP turns negative

Strategy evidence

Only available, validated bundles appear below. Missing evidence is not a passing validation result.

Evidence coverage

10 / 10 declared strategy–market pairs validated

Notes

  • VRP is typically positive (variance risk premium)
  • High VRP = market calm, good to hold
  • Negative VRP = turbulence ahead

Related strategies

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Backtests are historical simulations on daily data and do not include commissions or slippage. They do not guarantee future results and are not investment advice. See the methodology for how every strategy is tested.

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