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Computing the SSR

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  • Peter K. Friz
  • Jim Gatheral

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 $H+3/2$ 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.

Suggested Citation

  • Peter K. Friz & Jim Gatheral, 2024. "Computing the SSR," Papers 2406.16131, arXiv.org.
    • Handle: RePEc:arx:papers:2406.16131
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    References listed on IDEAS

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    1. Florian Bourgey & Stefano De Marco & Peter K. Friz & Paolo Pigato, 2023. "Local volatility under rough volatility," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1119-1145, October.
    2. Jim Gatheral & Martin Keller-Ressel, 2019. "Affine forward variance models," Finance and Stochastics, Springer, vol. 23(3), pages 501-533, July.
    3. Elisa Alòs & Jim Gatheral & Radoš Radoičić, 2020. "Exponentiation of conditional expectations under stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 20(1), pages 13-27, January.
    4. Valdo Durrleman, 2010. "From implied to spot volatilities," Finance and Stochastics, Springer, vol. 14(2), pages 157-177, April.
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