Neural networks and finance: derivatives pricing and risk management

What it is about

Use cases of neural networks in finance: generative adversarial networks (GANs) to create synthetic data applicable to market risk management and stress testing; variational autoencoders (VAEs) to analyze yield curve dynamics and their applications in stress testing; neural networks for pricing financial options; and new optimization algorithms for neural networks, such as gradient descent with fractional derivatives.