IAS NTU | Neural Network based Approximation Algorithm with Application to Pricing by Ariel Neufeld

Nanyang Assistant Professor Ariel Neufeld explained the mathematical concept of neural network and its universal approximation property. He showed how one can combine neural networks with tools from Stochastic Calculus to build a neural network based algorithm that can be applied to price high-dimensional financial derivatives under default risk.