A Monte Carlo study of autoregressive integrated moving average processes

Abstract

Six of the simpler ARMA type models are examined with respect to properties of a variety of proposed estimators of unknown parameters. The findings suggest that if only one estimation method were available to a researcher the choice should probably be maximum likelihood. Stationarity- and invertibility-restricted estimation would appear appropriate when parameters are thought to be within 5 percent of constraint boundaries.