Paper on derivative pricing and risk calculations using deep artificial neural networks

Quant David Siska, PhD, who leads Vega’s quantitative analysis team, is exploring innovative new approaches to risk calculations including utilising machine learning techniques, such as neural networks, that could replace Monte Carlo simulations for calculating risk for derivatives.

His research on derivative pricing and risk calculations using deep artificial neural networks includes this paper, which provides several algorithms and tests of how to train appropriate neural networks that can be used to price derivatives.

TIL that Monte Carlo simulations need to be created for each derivative type, making them a real challenge to use in an automated risk system. Thanks @David for the quick tutorial!