The joint spot-smile dynamics is analysed through the skew stickiness ratio lens CLICK HERE TO DOWNLOAD THE PDFFlorian Bourgey, Jules Delemotte and Stefano De Marco analyse joint spot-smile dynamics, focusing on the skew stickiness ratio in rough volatility models, and compare the results with S&P 500 data. After calibration to the at-the-money-forward volatility and skew term structures, they find that rough models yield skew stickiness ratio shapes that are broadly similar Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe You are currently unable to print this content. Please contact info@risk.net to find out more. You are currently unable to copy this content. Please contact info@risk.net to find out more. Copyright Infopro Digital Limited. All rights reserved.You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.If you would like to purchase additional rights please email info@risk.net Sorry, our subscription options are not loading right now Please try again later. Get in touch with our customer services team if this issue persists. New to Risk.net? View our subscription options If you already have an account, please sign in here. You already have an account with one of the websites below that uses this email address. Risk.net, FX Markets.com, WatersTechnology.com, Central Banking.com, PostOnline.co.uk, InsuranceAge.co.uk, RiskTechForum.com and Chartis-Research.com. Please use your existing password to sign in. Most read articles loading... Back to Top
Smile dynamics and rough volatility
Full Article
Original Source
Read the full article at Risk →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.