Modelling generalised autoregressive conditional heteroscedasticity using R — When attempting to forecast a time series, consideration is given as to both the trend and seasonality patterns in the series. That said, we can often come across a time series where the volatility in the series is not constant over time. This is known as autoregressive conditional heteroscedasticity. In…