Realized volatility & the vol risk premium

What realized volatility measures

Realized volatility (RV) quantifies how much the underlying actually moved over a lookback window. Common constructions use close-to-close log returns, Parkinson high-low ranges, or more robust estimators that down-weight outliers. Different estimators will disagree on the same chart — that is normal.

For desk work, consistency beats theoretical purity. If you compare today’s ATM IV to a 30-day close-to-close RV, keep using that pair when you review history. Mixing a Parkinson 7-day RV with a 90-day IV percentile without labeling the difference creates false confidence.

Crypto complicates RV further: 24/7 trading, weekend gaps that are really just continuous markets, and liquidation cascades that inject jumps. Estimators that assume calm Gaussian days can understate the tail that option sellers care about.

IV versus RV: two different clocks

IV is the market’s price of future uncertainty for a specific option (or a synthetic ATM strip). RV is a backward-looking statistic. Comparing them is powerful precisely because they answer different questions: “what is priced?” versus “what just happened?”

A common research habit is to align horizons — for example, compare 30-day IV to subsequent 30-day RV, or compare front-month IV to RV over the life of that option after the fact. Ex-post studies inform edge; live trading still faces the unknown path ahead.

The volatility risk premium

The volatility risk premium (VRP) is the tendency, in many markets and many periods, for implied volatility to average above the realized volatility that follows. Put simply: protection buyers often overpay on average relative to how much the market actually moved.

That average does not mean short vol always wins. A handful of vol spikes and crash weeks can erase months of collected premium. VRP is a distributional statement about averages and regimes, not a guarantee for your next short straddle.

In crypto, VRP can look generous in calm grind-up markets and disappear — or reverse — when cascades, exchange stress, or macro shocks hit. Regime context from the OptionsMatch vol-regime desk is meant to frame that environment, not to auto-select a short-vol trade.

Why sellers get paid (and when they do not)

Short options earn premium that embeds both expected move and a risk buffer for jump risk, inventory risk, and hedging costs. Market makers and systematic sellers demand compensation for standing in front of fat tails. That compensation shows up as elevated IV relative to typical RV.

When realized vol explodes through that buffer, short-vol P&L is driven by gamma and path, not by the neat VRP chart from last quarter. Defined-risk structures (credit spreads, broken wings) change the tail shape but do not remove the need to size for adverse regimes.

Long vol and the other side of the premium

Long vol strategies — long straddles, long wings, protective puts — often pay VRP in quiet markets and earn convexity when RV or IV spikes. The cost of carry is theta and, frequently, IV crush after events even when spot moved.

Evaluating long vol requires both RV outcomes and IV path. You can be “right” on direction or even on realized range and still lose if you overpaid for IV that collapsed into the move. Pair RV analysis with vega and term-structure context.

Using RV and VRP on OptionsMatch

The vol-regime and term desks help you situate current pricing against recent behavior. Ask: is ATM IV elevated because RV has already been high, or is the market pricing a jump that has not shown up in the lookback yet? Those are different stories for hedges and for premium selling.

Educational use only: treat VRP as a research lens. Combine multi-venue IV, a consistent RV estimator, known event calendars, and your risk limits before any structure. OptionsMatch surfaces the comparison; it does not promise that historical average premium will pay out on the next trade.