Skip to main content

​
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.
The volatility surface maps IV across different strikes (from deep out-of-the-money puts to deep out-of-the-money calls) and different expiries (from 1 week to 2 years). The surface shape reveals important information: the skew (risk reversal) shows whether downside risk or upside risk is priced higher, and the term structure shows whether near-term or far-term uncertainty is greater.

​
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

​
How It Works

1

Vol Surface Snapshot

Call equity_vol_surface or fx_vol_surface based on asset type. Extract ATM vol term structure, risk reversals, and butterflies.
2

Template Discovery

Call option_template_list to find available option types, expiries, and strikes.
3

Option Pricing

Call option_value for specific options. Extract premium, delta, gamma, vega, theta, implied vol.
4

Historical Data

Call tscc_historical_pricing_summaries or qa_historical_equity_price for 1Y daily history.
5

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.
6

Synthesize

Combine surface shape, Greeks, and IV-vs-RV comparison into a vol assessment with strategy recommendations.

​
How to Add to Your Local Context

Customize by adding your firm’s vol models, preferred strategies by vol regime, or specific underlying assets to monitor.

​
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