Approximation Rates for Deep Calibration of (Rough) Stochastic Volatility Models

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, pa…