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Implied volatility
Implied volatility
Definition
Implied volatility (IV) is the volatility number that makes an option-pricing model’s output equal the option’s market price — the market’s priced expectation of the underlying’s future movement over the option’s life, expressed as an annualized standard deviation. IV is quoted per contract; a whole chain’s IVs form the volatility surface.
How it works / structure
- Computation: invert the pricing model (Black-Scholes-class) numerically: given price, S, K, T, r, dividends, solve for σ. There is no closed form; root-finding on the model price.
- Conventions: annualized percentage (IV 30 = 30% annualized);
converting to horizon moves uses σ·√(T) scaling
(
opt-expected-move). - Index construction: the Cboe VIX methodology computes a
30-day model-free IV for the S&P 500 from a strip of option
prices — the standard volatility-regime marker
(
regime-volatility). - Platform bindings:
iv_rv_ratio(IV vs realized),implied_earnings_move_pctandearnings_iv_crush_pts(event IV mechanics,event-earnings). - Simulation parameters: entry/exit IV per leg, IV paths for repricing, and event-crush modeling for positions spanning earnings.
When it applies
Everywhere in options analysis: comparing option richness across
strikes/expiries/underlyings (raw premium is incomparable; IV is
the normalizer), volatility theses (IV vs subsequent realized),
event pricing, and strategy selection (premium-selling entries key
on high IV vs history — opt-iv-rank-percentile).
Risk profile & failure modes
- Model-dependence: IV is defined through a model; American exercise, dividends, and rate assumptions shift the number — cross-vendor IVs disagree on the same contract.
- Thin-quote garbage: IV from stale or wide quotes is noise
(
ms-option-chainliquidity filters come first). - Expectation ≠ forecast: IV embeds a risk premium; reading it as an unbiased forecast of realized volatility systematically overstates future movement (see evidence below).
- Surface collapse to one number: quoting “the IV” of an underlying hides skew and term structure that carry the thesis- relevant information.
Evidence & limits
Christensen and Prabhala (1998) found IV predicts subsequent realized volatility and subsumes much of history’s information — IV is informative. Bakshi and Kapadia (2003) documented negative delta-hedged gains consistent with a negative volatility risk premium: index IV on average exceeds subsequent realized volatility, i.e. options are on average priced rich as insurance. That premium is time-varying and reverses in stress — “IV is always overpriced” is folklore; the measured statement is the average premium with crisis exceptions.
Falsifiable-thesis examples
Illustrations only, not signals:
- “X’s 30-day IV, at 45 today, will exceed the volatility realized over the same 30 days” — falsified by realized volatility ≥ 45.
- “Y’s front-month IV will drop at least 8 points the session after earnings” — falsified by the post-report IV print.
Cross-references
- Normalizations:
opt-iv-rank-percentile; surface:opt-volatility-skew,opt-term-structure - Derived expectation:
opt-expected-move - Exposure to it:
greek-vega; realized comparison:indicator-realized-vs-implied-vol - Regime marker:
regime-volatility; event mechanics:event-earnings
Sources
- Black, F. and Scholes, M. (1973), The Pricing of Options and Corporate Liabilities — Journal of Political Economy 81(3), 637-654
- Cboe — Volatility index (VIX) methodology
- Bakshi, G. and Kapadia, N. (2003), Delta-Hedged Gains and the Negative Market Volatility Risk Premium — Review of Financial Studies 16(2), 527-566
- Christensen, B.J. and Prabhala, N.R. (1998), The Relation Between Implied and Realized Volatility — Journal of Financial Economics 50(2), 125-150
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