How is implied volatility extracted from market option prices, and what information does it convey?
I understand that implied volatility is the sigma that makes BSM price equal to the market price, but how is it actually calculated? Is there a formula, or is it solved numerically? And what does the implied volatility surface tell us about market expectations?
Implied volatility (IV) is the volatility parameter that, when plugged into the Black-Scholes formula, produces a theoretical price equal to the observed market price of the option. It cannot be solved for algebraically -- it must be extracted numerically through an iterative root-finding process.\n\nExtraction Process:\n\nGiven an observed market price C_market for a call option with known S, K, r, and T:\n\nFind sigma_IV such that BSM(S, K, r, sigma_IV, T) = C_market\n\nThis is solved using numerical methods:\n\n1. Newton-Raphson: Start with an initial guess (e.g., 20%), compute the BSM price and its derivative with respect to sigma (vega), then iterate:\n sigma_new = sigma_old - (BSM(sigma_old) - C_market) / Vega(sigma_old)\n\n2. Bisection: Bracket the answer between low and high sigma values, iteratively halving the interval.\n\nWorked Example:\n\nWestbrook Dynamics call option: S = $72, K = $75, r = 4.5%, T = 0.25 years, C_market = $3.40\n\n| Iteration | Sigma Guess | BSM Price | Vega | Update |\n|---|---|---|---|---|\n| 1 | 30.0% | $3.02 | 13.8 | +(3.40-3.02)/13.8 = +2.75% |\n| 2 | 32.75% | $3.36 | 14.1 | +(3.40-3.36)/14.1 = +0.28% |\n| 3 | 33.03% | $3.40 | 14.1 | Converged |\n\nImplied volatility = 33.03%\n\nThe Implied Volatility Surface:\n\nWhen you extract IV for options across multiple strikes and maturities, you get a three-dimensional surface:\n\n- Volatility smile/skew (across strikes at fixed maturity): OTM puts typically have higher IV than ATM options, reflecting demand for crash protection. This contradicts BSM's constant-volatility assumption.\n\n- Term structure (across maturities at fixed moneyness): Short-term IV often exceeds long-term IV during market stress (inverted term structure) and vice versa in calm markets.\n\nWhat IV Conveys:\n\n1. Market's expected future volatility: IV represents the market's consensus estimate of how volatile the underlying will be over the option's remaining life. It is forward-looking, unlike historical volatility.\n\n2. Risk premium: IV typically exceeds subsequent realized volatility by 2-4 percentage points on average. This \"variance risk premium\" compensates option sellers for bearing tail risk.\n\n3. Event pricing: IV spikes before known events (earnings, FDA decisions, elections) and collapses after the event resolves (\"volatility crush\").\n\n4. Relative value: Comparing IV across related assets or across the term structure reveals mispricings that volatility traders exploit.\n\nExam Tip:\nYou won't need to perform Newton-Raphson on the exam, but you must understand that IV is the BSM input that makes model price equal market price, and that the volatility smile/skew reflects market realities not captured by BSM's constant-volatility assumption.\n\nExplore implied volatility analysis in our CFA Derivatives course.
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