Volatility and irregularity Capturing in stock price indices using time series Generative adversarial networks (TimeGAN)

Leonard Mushunje, David Allen, Shelton Peiris

This paper captures irregularities in financial time series data, particularly stock prices, in the presence of COVID-19 shock. We conjectured that jumps and irregularities are emb…