Machine learning for option pricing: an empirical investigation of network architectures

Serena Della Corte, Laurens Van Mieghem, Antonis Papapantoleon +1

We consider the supervised learning problem of learning the price of an option or the implied volatility given appropriate input data (model parameters) and corresponding output da…