A differential neural network learns stochastic differential equations and the Black-Scholes equation for pricing multi-asset options

Sang-Mun Chi

Neural networks with sufficiently smooth activation functions can approximate values and derivatives of any smooth function, and they are differentiable themselves. We improve the…