What is Option Volatility Analysis?
Options are derivatives that give the holder the right (but not the obligation) to buy or sell an underlying asset at a predetermined price (the strike price) by a specific date (the expiry). The price of an option is driven primarily by volatility — how much the underlying asset is expected to move. Higher expected volatility makes options more expensive because there is a greater chance the option will end up profitable. Implied volatility (IV) is the market’s forecast of future volatility, backed out from current option prices. Realized volatility (RV) is the actual volatility observed in the underlying asset’s price history. The relationship between the two is the central question in options trading:- If IV > RV: options are “rich” — the market is pricing in more volatility than has actually been occurring. Selling options (writing puts or calls) tends to be profitable.
- If IV < RV: options are “cheap” — the market is underestimating volatility. Buying options tends to be profitable.
Why It Matters
Volatility analysis is the foundation of every options trading strategy. Whether you are hedging a portfolio, speculating on earnings, or constructing structured products, understanding whether options are cheap or expensive — and why — determines whether your trade has positive expected value. The Greeks (delta, gamma, vega, theta) tell you exactly how your position will behave as market conditions change.Key Concepts
| Term | Definition |
|---|---|
| Implied Volatility (IV) | The market’s expectation of future volatility, derived from current option prices |
| Realized Volatility (RV) | Historical volatility calculated from actual price movements (typically close-to-close) |
| Vol Premium | IV minus RV — positive means options are expensive; negative means cheap |
| Delta | How much the option price changes for a $1 move in the underlying (ranges from 0 to 1 for calls, -1 to 0 for puts) |
| Gamma | How much delta changes for a $1 move in the underlying — measures the “acceleration” of the option |
| Vega | How much the option price changes for a 1% change in implied volatility |
| Theta | How much the option price decays per day as time passes — the cost of holding an option |
| Risk Reversal (RR) | The difference in IV between an OTM call and an OTM put at the same delta — measures directional skew |
| Butterfly (BF) | The average of OTM put and call vols minus ATM vol — measures smile curvature / tail risk pricing |
| SABR Model | A stochastic volatility model commonly used to fit and interpolate FX vol surfaces |
How It Works
Vol Surface Snapshot
Call
equity_vol_surface or fx_vol_surface based on asset type. Extract ATM vol term structure, risk reversals, and butterflies.Option Pricing
Call
option_value for specific options. Extract premium, delta, gamma, vega, theta, implied vol.Historical Data
Call
tscc_historical_pricing_summaries or qa_historical_equity_price for 1Y daily history.Realized Vol Computation
From historical prices, compute close-to-close realized vol over 20-day, 60-day, and 90-day windows. Compare to matching implied vol tenors.
How to Add to Your Local Context
Best Practices
- Always start from the vol surface for the big picture, then drill down to specific options
- The vol premium (IV minus RV) is the key metric — but consider which RV window is most relevant
- Skew direction matters: in equities, negative skew (puts more expensive than calls) is normal; a flattening of skew can signal changing risk perception
- Term structure shape (backwardation vs. contango) indicates near-term vs. long-term uncertainty
- Be explicit about the vol regime (low/normal/elevated/crisis) when making recommendations