DeepSVM: Learning Stochastic Volatility Models with Physics-Informed Deep Operator Networks

Kieran A. Malandain, Selim Kalici, Hakob Chakhoyan

Real-time calibration of stochastic volatility models (SVMs) is computationally bottlenecked by the need to repeatedly solve coupled partial differential equations (PDEs). In this…