CEV Model
CEV (Constant Elasticity of Variance) is the simplest model that produces skew. It is the backbone inside SABR -- set vol-of-vol to zero in SABR and you get CEV. One parameter controls everything.
One parameter: beta
Beta controls how vol scales with the underlying price. Lower beta = more skew. That is the entire model.
Explore Beta
Drag the slider to see how the smile changes as beta moves from lognormal (flat) to normal (steep skew). The dashed blue line always shows the Black-Scholes reference (beta = 1) so you can see the skew that CEV adds.
CEV Smile Explorer
Drag β down to see how skew appears. The dashed blue line shows the flat Black-Scholes smile for reference.
What beta does
- beta = 1 (lognormal): Percentage moves stay constant. A 50 stock and a 500 stock both move 2% per day. This is Black-Scholes -- perfectly flat smile, no skew.
- beta = 0.5 (square root): A middle ground. Implied vol rises as price drops, but not as aggressively as the normal model. The traditional assumption in rates markets.
- beta = 0 (normal): Dollar moves stay constant. A 1 move regardless of price level. Vol (as a percentage) explodes as price drops -- maximum skew. ATM vol stays constant while OTM put vol rises sharply.
Strengths and Limitations
A building block, not a trading model
CEV tells you what beta does inside SABR, which is a trading model. If beta confuses you in SABR, come back here. For delta and vega hedging, you need a model that also captures term structure.
Equation Explorer
Convert between implied vol, total variance, log-moneyness, and option prices.
Equation Explorer
💡 Tip: Try answering each question yourself before revealing the answer.
Building mathematical intuition
Learn CEV from scratchInteractive lesson · no prerequisitesThis lesson starts from the idea that volatility can depend on price level, then shows how beta creates skew and how CEV sits between Black-Scholes, the normal model, and SABR.
See also:
- SABR Model -- CEV + stochastic vol-of-vol
- Displaced Diffusion -- Another simple skew model (shifted lognormal)
- Skew -- Why the smile tilts
- Interpolation Methods -- All smile models compared