z-logo
Premium
Forecasting from non‐linear models in practice
Author(s) -
Lin JinLung,
Granger C. W. J.
Publication year - 1994
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.3980130102
Subject(s) - econometrics , computer science , linear model , economics , machine learning
If a simple non‐linear autoregressive time‐series model is suggested for a series, it is not straightforward to produce multi‐step forecasts from it. Several alternative theoretical approaches are discussed and then compared with a simulation study only for the two‐step case. It is suggested that fitting a new model for each forecast horizon may be a satisfactory strategy.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom