← Search

Shuanghong Huang

1 accepted papers

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…

Cited by 0SourcePDFScholar