Deep Learning for American Option Pricing: A Comparative Study

This study compares traditional numerical methods (binomial trees, finite differences) with deep learning approaches for American option pricing. We find that neural network-based methods achieve comparable accuracy with significantly reduced computation time, making them suitable for real-time pricing applications.