On Order Selection for ARFIMA and GARCH Processes

Abstract

We establish order selection consistency for autoregressive fractionally integrated moving average (ARFIMA) processes without constraints on the memory parameter, and for generalized autoregressive conditional heteroskedasticity (GARCH) processes. To the best of our knowledge, these are the first selection consistency results obtained for both classes of models. Numerical analysis is conducted to illustrate our theoretical findings.