Volatility

Realized Volatility

By Ryan Silk & Lawrence Polatchek · Reviewed 2026-05-13 · Options Trading Glossary

Actual historical price volatility observed

What is Realized Volatility?

Realized Volatility Realized volatility (RV) is the actual observed price movement of an underlying asset, measured statistically as the standard deviation of returns over a specified period and annualized. Unlike implied volatility (IV), which is forward-looking and derived from options prices, realized volatility is backward-looking and computed from actual historical price data. The standard calculation: - Compute daily log-returns: r_t = ln(P_t / P_{t-1}) - Calculate the standard deviation of these returns: σ_daily - Annualize: σ_annualized = σ_daily × √252 (using trading days) This produces realized volatility expressed in the same units as implied volatility (annualized standard deviation, expressed as a percentage). A stock with 20% realized vol moved within a one-standard-deviation range of ±20% annualized over the calculation period. Realized volatility windows: - **5-day RV**: ultra-short-term, captures last week's vol - **20-day RV**: monthly vol baseline, the most-cited "recent vol" - **63-day RV**: quarterly vol - **252-day RV**: annual vol - **Long-run RV** (multi-year): historical baseline for the underlying RV is critical for options trading because: **Volatility risk premium (VRP)**: implied vol typically exceeds realized vol on equity indices. This 2-5 percentage point premium is the structural edge of systematic premium-selling. Over multi-year periods, VRP averages around 3-5 vol points on SPX. **IV vs RV spread analysis**: comparing current IV to recent RV reveals mispricing: - IV >> RV: implied vol is rich → favor selling premium - IV << RV: implied vol is cheap → favor buying premium - IV ≈ RV: fair pricing, no edge **Volatility regime classification**: clustering of high-RV periods followed by low-RV periods is a feature of equity markets. Major vol spikes (March 2020, August 2024) precede regimes of elevated RV; calm periods (mid-2017, 2021 H1) have unusually low RV. **Gamma scalping economics**: profit drivers for gamma scalpers depend on RV exceeding IV. Pre-position vol surveys often compare expected near-term RV vs current IV to gauge edge. For retail options traders, the practical use of RV: - **Sizing iron condors**: high RV in the underlying signals widening expected moves; tighten short strikes accordingly - **Identifying mispricings**: stocks with chronically low RV relative to IV (consumer staples, large-cap tech in calm regimes) are good premium-selling candidates - **Event analysis**: actual realized move post-earnings vs the implied move tells you whether long-options strategies would have been profitable RV calculation methods vary in sophistication. Simple close-to-close RV is the most common. More advanced methods include: - **Parkinson estimator** (uses high-low range — more efficient for small samples) - **Garman-Klass** (uses OHLC — even more efficient) - **Yang-Zhang** (handles overnight gaps separately) The Parkinson and Garman-Klass estimators can produce smoother RV estimates with less noise than close-to-close, but most retail traders work with the simpler version.

Complete Definition

Realized volatility (RV) is the actual observed price movement of an underlying asset, measured statistically as the standard deviation of returns over a specified period and annualized. Unlike implied volatility (IV), which is forward-looking and derived from options prices, realized volatility is backward-looking and computed from actual historical price data. The standard calculation: - Compute daily log-returns: r_t = ln(P_t / P_{t-1}) - Calculate the standard deviation of these returns: σ_daily - Annualize: σ_annualized = σ_daily × √252 (using trading days) This produces realized volatility expressed in the same units as implied volatility (annualized standard deviation, expressed as a percentage). A stock with 20% realized vol moved within a one-standard-deviation range of ±20% annualized over the calculation period. Realized volatility windows: - **5-day RV**: ultra-short-term, captures last week's vol - **20-day RV**: monthly vol baseline, the most-cited "recent vol" - **63-day RV**: quarterly vol - **252-day RV**: annual vol - **Long-run RV** (multi-year): historical baseline for the underlying RV is critical for options trading because: **Volatility risk premium (VRP)**: implied vol typically exceeds realized vol on equity indices. This 2-5 percentage point premium is the structural edge of systematic premium-selling. Over multi-year periods, VRP averages around 3-5 vol points on SPX. **IV vs RV spread analysis**: comparing current IV to recent RV reveals mispricing: - IV >> RV: implied vol is rich → favor selling premium - IV << RV: implied vol is cheap → favor buying premium - IV ≈ RV: fair pricing, no edge **Volatility regime classification**: clustering of high-RV periods followed by low-RV periods is a feature of equity markets. Major vol spikes (March 2020, August 2024) precede regimes of elevated RV; calm periods (mid-2017, 2021 H1) have unusually low RV. **Gamma scalping economics**: profit drivers for gamma scalpers depend on RV exceeding IV. Pre-position vol surveys often compare expected near-term RV vs current IV to gauge edge. For retail options traders, the practical use of RV: - **Sizing iron condors**: high RV in the underlying signals widening expected moves; tighten short strikes accordingly - **Identifying mispricings**: stocks with chronically low RV relative to IV (consumer staples, large-cap tech in calm regimes) are good premium-selling candidates - **Event analysis**: actual realized move post-earnings vs the implied move tells you whether long-options strategies would have been profitable RV calculation methods vary in sophistication. Simple close-to-close RV is the most common. More advanced methods include: - **Parkinson estimator** (uses high-low range — more efficient for small samples) - **Garman-Klass** (uses OHLC — even more efficient) - **Yang-Zhang** (handles overnight gaps separately) The Parkinson and Garman-Klass estimators can produce smoother RV estimates with less noise than close-to-close, but most retail traders work with the simpler version.

Example

AAPL closes the past 20 trading days with daily returns ranging from -2.8% to +3.1%. Daily standard deviation of log-returns: 1.2%. Annualized 20-day RV = 1.2% × √252 = 19.1%. Current 30-day IV is 22%. IV-RV spread = 22% − 19.1% = 2.9 percentage points — modest VRP, neutral signal for selling vs buying premium.

Frequently Asked Questions

What is realized volatility?

Realized volatility (RV) is the actual observed price movement of an asset, calculated as the annualized standard deviation of log-returns over a specified period. Unlike implied volatility (forward-looking from options), realized volatility is backward-looking from actual historical price data.

How is realized volatility different from implied volatility?

Realized vol measures what actually happened (historical). Implied vol prices what the market expects (forward-looking). The difference between them — the volatility risk premium — is the structural edge of premium-selling strategies. IV typically exceeds RV by 2-5 vol points on equity indices over time.

How do I calculate realized volatility?

Compute daily log-returns over your window, take their standard deviation, then annualize by multiplying by √252 (trading days per year). For higher-precision estimates on small samples, use the Parkinson or Garman-Klass estimators which incorporate intraday high-low range.

AV
Written by
ApexVol Research Team
Quantitative options research
All calculations use live ORATS institutional data — the same source used by professional volatility desks.
RS
Technical reviewer
Ryan Silk, ApexVol Founder
Reviewed for technical accuracy
10+ years trading options. Built ApexVol's pricing engine, Greeks model, and IV-rank methodology.
This guide is updated as market conditions and ORATS data change. Last revised 2026-05-13. How we research →

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