Neural networks for option pricing and hedging: a literature review

J Ruf, W Wang - ar** boundary
AM Reppen, HM Soner… - Mathematical …, 2022 - Wiley Online Library
A method based on deep artificial neural networks and empirical risk minimization is
developed to calculate the boundary separating the stop** and continuation regions in …

Deep hedging of long-term financial derivatives

A Carbonneau - Insurance: Mathematics and Economics, 2021 - Elsevier
This study presents a deep reinforcement learning approach for global hedging of long-term
financial derivatives. A similar setup as in Coleman et al.(2007) is considered with the risk …

The evolution of reinforcement learning in quantitative finance

N Pippas, C Turkay, EA Ludvig - arxiv preprint arxiv:2408.10932, 2024 - arxiv.org
Reinforcement Learning (RL) has experienced significant advancement over the past
decade, prompting a growing interest in applications within finance. This survey critically …