2026
BEYOND VISUAL REALISM: TOWARD RELIABLE FINANCIAL TIME SERIES GENERATION
ICASSP 2026poster
Generative models for financial time series often create data that look realistic and even reproduce stylized facts such as fat tails or volatility clustering. However, these apparent successes break down under trading backtests: models like GANs or WGAN-GP frequently collapse, yielding extreme and…