Crisis-Aware Variational Autoencoders for Stress Testing Volatility Surfaces
This paper introduces a Crisis-Aware Variational Autoencoder that generates internally consistent, arbitrage-free stressed volatility surfaces by combining crisis conditioning, heavy-tailed priors, and soft constraints, demonstrating superior performance over traditional benchmarks in pricing exotic derivatives under various crisis regimes while highlighting the limitations of parametric approximations.