no code implementations • 26 Sep 2023 • Francesca Biagini, Lukas Gonon, Niklas Walter
We derive quantitative error bounds for deep neural networks (DNNs) approximating option prices on a $d$-dimensional risky asset as functions of the underlying model parameters, payoff parameters and initial conditions.
