In this chapter, we have already used two models to explain and potentially forecast the conditional volatility of a time series. However, there are numerous extensions of the GARCH model, as well as different configurations with which we can experiment in order to find the best-fitting model.

In the GARCH framework, aside from the hyperparameters (such as p and q, in the case of the vanilla GARCH model), we can modify the models described next.