Measuring the advantages of multivariate vs. Univariate forecasts

被引:21
|
作者
Pena, Daniel [1 ]
Sanchez, Ismael [1 ]
机构
[1] Univ Carlos III Madrid, E-28903 Getafe, Spain
关键词
ARMA models; dynamic regression models; prediction; VARMA models;
D O I
10.1111/j.1467-9892.2007.00538.x
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Suppose we are interested in forecasting a time series and, in addition to the time series data, we have data from many time series related to the one we want to forecast. Since building a dynamic multivariate model for the set of time series can be a complex task, it is important to measure in advance the increase in precision to be attained by using multivariate forecasts with respect to univariate ones. This article presents a simple procedure designed to obtain a consistent estimate of this measure. Its performance is illustrated with Monte Carlo simulations and examples.
引用
收藏
页码:886 / 909
页数:24
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