Fourier-Laplace transforms in polynomial Ornstein-Uhlenbeck volatility models

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Auteurs principaux: Jaber, Eduardo Abi, Shaun, Li, Lin, Xuyang
Format: Preprint
Publié: 2024
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author Jaber, Eduardo Abi
Shaun
Li
Lin, Xuyang
author_facet Jaber, Eduardo Abi
Shaun
Li
Lin, Xuyang
contents We consider the Fourier-Laplace transforms of a broad class of polynomial Ornstein-Uhlenbeck (OU) volatility models, including the well-known Stein-Stein, Schöbel-Zhu, one-factor Bergomi, and the recently introduced Quintic OU models motivated by the SPX-VIX joint calibration problem. We show the connection between the joint Fourier-Laplace functional of the log-price and the integrated variance, and the solution of an infinite dimensional Riccati equation. Next, under some non-vanishing conditions of the Fourier-Laplace transforms, we establish an existence result for such Riccati equation and we provide a discretized approximation of the joint characteristic functional that is exponentially entire. On the practical side, we develop a numerical scheme to solve the stiff infinite dimensional Riccati equations and demonstrate the efficiency and accuracy of the scheme for pricing SPX options and volatility swaps using Fourier and Laplace inversions, with specific examples of the Quintic OU and the one-factor Bergomi models and their calibration to real market data.
format Preprint
id arxiv_https___arxiv_org_abs_2405_02170
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fourier-Laplace transforms in polynomial Ornstein-Uhlenbeck volatility models
Jaber, Eduardo Abi
Shaun
Li
Lin, Xuyang
Mathematical Finance
Computational Finance
Pricing of Securities
We consider the Fourier-Laplace transforms of a broad class of polynomial Ornstein-Uhlenbeck (OU) volatility models, including the well-known Stein-Stein, Schöbel-Zhu, one-factor Bergomi, and the recently introduced Quintic OU models motivated by the SPX-VIX joint calibration problem. We show the connection between the joint Fourier-Laplace functional of the log-price and the integrated variance, and the solution of an infinite dimensional Riccati equation. Next, under some non-vanishing conditions of the Fourier-Laplace transforms, we establish an existence result for such Riccati equation and we provide a discretized approximation of the joint characteristic functional that is exponentially entire. On the practical side, we develop a numerical scheme to solve the stiff infinite dimensional Riccati equations and demonstrate the efficiency and accuracy of the scheme for pricing SPX options and volatility swaps using Fourier and Laplace inversions, with specific examples of the Quintic OU and the one-factor Bergomi models and their calibration to real market data.
title Fourier-Laplace transforms in polynomial Ornstein-Uhlenbeck volatility models
topic Mathematical Finance
Computational Finance
Pricing of Securities
url https://arxiv.org/abs/2405.02170