64 citations · 204 across the 26 of their papers we have counts for
5 papers · 1 filter
Interest rate convexity in a Gaussian framework
Antoine Jacquier, Mugad Oumgari
The contributions of this paper are twofold: we define and investigate the properties of a short rate model driven by a general Gaussian Volterra process and, after defining precis…
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs
Lukas Gonon, Antoine Jacquier
Universal approximation theorems are the foundations of classical neural networks, providing theoretical guarantees that the latter are able to approximate maps of interest. Recent…
Propagation of a carbon price in a credit portfolio through macroeconomic factors
Géraldine Bouveret, Jean-François Chassagneux, Smail Ibbou +2
We study how the climate transition through a low-carbon economy, implemented by carbon pricing, propagates in a credit portfolio and precisely describe how carbon price dynamics a…
Random neural networks for rough volatility
Antoine Jacquier, Zan Zuric
We construct a deep learning-based numerical algorithm to solve path-dependent partial differential equations arising in the context of rough volatility. Our approach is based on i…
Rough volatility, path-dependent PDEs and weak rates of convergence
Ofelia Bonesini, Antoine Jacquier, Alexandre Pannier
In the setting of stochastic Volterra equations, and in particular rough volatility models, we show that conditional expectations are the unique classical solutions to path-depende…