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Implied volatility surface explorer

Build an implied-volatility surface across strike and maturity, rotate it in 3D and see how skew, curvature and term structure each change its shape.

SelfMadeQuant.com/tools/volatility-surface

02 / IMPLIED VOLATILITY

Volatility surface

A new dimension to the shape of uncertainty.

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Selected volatility20.07%12.5 months · $100.00 strike
Surface low18.43%Across displayed grid
Surface high50.75%Across displayed grid

Implied volatility surface

Drag to rotate · hover to inspect · arrow keys to orbit

0%601m14%806.8m28%10012.5m43%12018.3m57%14024mIMPLIED VOLATILITY (%)STRIKE PRICE (USD)TIME TO MATURITY
18.4%50.8%Implied volatility
Strike $100.00Expiry 12.5 monthsImplied vol 20.07%
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Short-dated wings are more pronounced. Term slope changes how ATM volatility evolves with maturity; skew and curvature shape the smile across strikes.

About this surface +

An illustrative surface, not market data or an arbitrage-free calibration. σ(K,T) = σ₁Y × exp[term × (T − 1) + (skew × m + curvature × m²) / √(T + 0.25)], where m = K/F − 1 and T is in years. The forward F is held constant across expiries. Height and colour both encode annualised volatility; the vertical scale adjusts to the displayed range.

Guide

How to use it

Use the sliders to set the at-the-money level, skew, curvature and term slope. Drag the surface or use the arrow keys to rotate it, and inspect any point to read its strike, maturity and implied volatility.

What it teaches

A single Black–Scholes volatility cannot match option prices across strikes. Markets quote a surface instead. Skew tilts the smile so low strikes carry higher volatility, curvature lifts both wings, and term slope controls how at-the-money volatility changes with maturity.

Short-dated wings are more pronounced, which is one reason practitioners model the surface with stochastic volatility or jumps rather than one constant number. The surface here is a parametric teaching model, not live market data.

Learn the ideas behind it

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