Computing the SSR
22 Pages Posted: 27 Jun 2024
Date Written: June 21, 2024
Abstract
The skew-stickiness-ratio (SSR), examined in detail by Bergomi in his book, is critically important to options traders, especially market makers. We present a modelfree expression for the SSR in terms of the characteristic function. In the diffusion setting, it is well-known that the short-term limit of the SSR is 2; a corollary of our results is that this limit is H + 3/2 where H is the Hurst exponent of the volatility process. The general formula for the SSR simplifies and becomes particularly tractable in the affine forward variance case. We explain the qualitative behavior of the SSR with respect to the shape of the forward variance curve, and thus also path-dependence of the SSR.
Keywords: Skew-stickiness ratio, stochastic volatility, rough volatility, forward variance model, characteristic function, forest expansion
Suggested Citation: Suggested Citation