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Deep Curve-dependent PDEs for affine rough volatility

Pricing of Securities 2023-01-04 v3

Abstract

We introduce a new deep-learning based algorithm to evaluate options in affine rough stochastic volatility models. Viewing the pricing function as the solution to a curve-dependent PDE (CPDE), depending on forward curves rather than the whole path of the process, for which we develop a numerical scheme based on deep learning techniques. Numerical simulations suggest that the latter is a promising alternative to classical Monte Carlo simulations.

Keywords

Cite

@article{arxiv.1906.02551,
  title  = {Deep Curve-dependent PDEs for affine rough volatility},
  author = {Antoine Jacquier and Mugad Oumgari},
  journal= {arXiv preprint arXiv:1906.02551},
  year   = {2023}
}

Comments

22 pages, 10 figures, 4 tables -- Revised version

R2 v1 2026-06-23T09:45:14.476Z