Rough multi-factor volatility for SPX and VIX options
File(s)
Author(s)
Jacquier, Antoine
Muguruza, Aitor
Pannier, Alexandre
Type
Journal Article
Abstract
We provide explicit small-time formulae for the at-the-money implied volatility, skew, and curvature in a large class of models, including rough volatility models and their multi-factor versions. Our general setup encompasses both European options on a stock and VIX options, thereby providing new insights on their joint calibration. The tools used are essentially based on Malliavin calculus for Gaussian processes. We develop a detailed theoretical and numerical analysis of the two-factor rough Bergomi model and provide insights on the interplay between the different parameters for joint SPX–VIX smile calibration.
Date Issued
2025-06-01
Date Acceptance
2024-07-18
Citation
Advances in Applied Probability, 2025, 57 (2), pp.524-565
ISSN
0001-8678
Publisher
Applied Probability Trust
Start Page
524
End Page
565
Journal / Book Title
Advances in Applied Probability
Volume
57
Issue
2
Copyright Statement
© The Author(s), 2024. Published by Cambridge University Press on behalf of Applied Probability Trust. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
10.1017/apr.2024.45
Subjects
ASYMPTOTIC-BEHAVIOR
asymptotics
BOUNDS
FUTURES
IMPLIED VOLATILITY
Malliavin calculus
Mathematics
MODEL
multi-factor
Physical Sciences
Rough volatility
Science & Technology
SHORT-TIME BEHAVIOR
Statistics & Probability
STOCHASTIC VOLATILITY
VIX
Publication Status
Published
Date Publish Online
2024-12-16