{"title":"计算 SSR","authors":"Peter K. Friz, Jim Gatheral","doi":"arxiv-2406.16131","DOIUrl":null,"url":null,"abstract":"The skew-stickiness-ratio (SSR), examined in detail by Bergomi in his book,\nis critically important to options traders, especially market makers. We\npresent a model-free expression for the SSR in terms of the characteristic\nfunction. In the diffusion setting, it is well-known that the short-term limit\nof the SSR is 2; a corollary of our results is that this limit is $H+3/2$ where\n$H$ is the Hurst exponent of the volatility process. The general formula for\nthe SSR simplifies and becomes particularly tractable in the affine forward\nvariance case. We explain the qualitative behavior of the SSR with respect to\nthe shape of the forward variance curve, and thus also path-dependence of the\nSSR.","PeriodicalId":501084,"journal":{"name":"arXiv - QuantFin - Mathematical Finance","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computing the SSR\",\"authors\":\"Peter K. Friz, Jim Gatheral\",\"doi\":\"arxiv-2406.16131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The skew-stickiness-ratio (SSR), examined in detail by Bergomi in his book,\\nis critically important to options traders, especially market makers. We\\npresent a model-free expression for the SSR in terms of the characteristic\\nfunction. In the diffusion setting, it is well-known that the short-term limit\\nof the SSR is 2; a corollary of our results is that this limit is $H+3/2$ where\\n$H$ is the Hurst exponent of the volatility process. The general formula for\\nthe SSR simplifies and becomes particularly tractable in the affine forward\\nvariance case. We explain the qualitative behavior of the SSR with respect to\\nthe shape of the forward variance curve, and thus also path-dependence of the\\nSSR.\",\"PeriodicalId\":501084,\"journal\":{\"name\":\"arXiv - QuantFin - Mathematical Finance\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Mathematical Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.16131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Mathematical Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.16131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Bergomi 在他的书中详细研究了偏斜粘滞比(SSR),这对期权交易者,尤其是做市商至关重要。我们用特征函数给出了 SSR 的无模型表达式。众所周知,在扩散设置中,SSR 的短期极限是 2;我们结果的一个推论是,这个极限是 $H+3/2$,其中$H$是波动率过程的赫斯特指数。在仿射前向方差情况下,SSR 的一般公式变得简单易行。我们解释了 SSR 与前向方差曲线形状有关的定性行为,从而也解释了 SSR 的路径依赖性。
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.