Volatility

Reading the Volatility Surface: Skew, Smile, and Term Structure

Black–Scholes assumes a single volatility. Markets quote a different one for every strike and every expiry. The shape of that surface is information — if you can read it.

Niro Research8 min read

The Black–Scholes model[1] assumes volatility is a single constant. If that were true, every strike and expiry on an underlying would price at the same implied volatility, and the “surface” would be flat. It is not.

Since the 1987 crash, equity-index options have shown a persistent skew: downside puts trade at higher implied volatility than upside calls[2]. Plotting implied vol against strike traces a smile or smirk, never a line.

3431282421809095100105110115120Implied vol by strike
Figure 1. The volatility skew (illustrative) — Typical equity-index shape: richer downside[2]; values illustrative.

Why the smile exists

Real returns are not lognormal — they have fat tails[3] and jumps that Black–Scholes ignores. The market prices that reality back in through the surface. Models built to fit it — local volatility[4] and stochastic volatility[5] — exist precisely because one number was never enough.

The surface is the market’s own admission that the simplest model is wrong.

Term structure: the other axis

Volatility also varies by time to expiry. Calm regimes slope upward — near-dated cheap, far-dated dear; stress inverts it. The slope is a read on what the market expects, and when.

38322722167d30d60d90d180d365dCalm regimeStressed regime
Figure 2. Volatility term structure (illustrative) — Contango in calm, backwardation in stress; conceptual.

Niro structures trades against the surface that actually exists — pricing skew and term structure as inputs rather than assuming them away — and bounds the risk of every leg. Reading the surface is table stakes for any serious options engine; trading as if it were flat is how accounts get surprised.

References

  1. Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3).
  2. Rubinstein, M. (1994). Implied Binomial Trees. The Journal of Finance, 49(3).
  3. Mandelbrot, B. (1963). The Variation of Certain Speculative Prices. The Journal of Business, 36(4).
  4. Dupire, B. (1994). Pricing with a Smile. Risk Magazine, 7(1).
  5. Heston, S. L. (1993). A Closed-Form Solution for Options with Stochastic Volatility. Review of Financial Studies, 6(2).
Educational research, not investment advice or a recommendation to buy or sell any instrument. Figures labeled illustrative are conceptual and do not represent actual results. Verify all primary sources before relying on them.
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