New theory revolutionizes time series model estimation for accurate predictions.
The article presents a new theory for estimating time series models. The researchers show that certain estimators are reliable and accurate for these models. They also demonstrate that these estimators work well for various types of time series models, such as long-memory fractional ARIMA, GARCH(1,1), random coefficient AR(1), and threshold MA(1) models.