Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes
The study investigates learning risk-neutral densities from irregular option quotes using four different AI models and various estimation techniques. It finds that accurate option prices do not reliably indicate an accurate recovery of the underlying latent risk-neutral density. The best approach depends heavily on the specific target, supervision method, and desired output.