Volatility forecasting using adaptive exponential smoothing versus GARCH modeling
Different models for predicting volatility in financial returns have been proposed during the years. This paper focuses on two different ways of volatility modeling, generalized autoregressive conditional heteroskedasticity (GARCH) models and exponential smoothing models. In a previous study 2004, James W. Taylor introduced an adaptive version of the traditionally exponential smoothing method with