Computing the SSR
Mathematical Finance
2024-06-25 v1 Computational Finance
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 model-free 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 where 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
Cite
@article{arxiv.2406.16131,
title = {Computing the SSR},
author = {Peter K. Friz and Jim Gatheral},
journal= {arXiv preprint arXiv:2406.16131},
year = {2024}
}
Comments
22 pages, 4 figures