Xiao Qiao

Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Limited data availability poses a major obstacle in training deep learning models for financial applications. Synthesizing financial time series to augment real-world data is challenging due to the irregular and scale-invariant patterns uniquely associated with financial time series - temporal dynam…