Volatility forecasting using Deep Learning and sentiment analysis

V Ncume, T. L van Zyl, A Paskaramoorthy

Several studies have shown that deep learning models can provide more accurate volatility forecasts than the traditional methods used within this domain. This paper presents a comp…