Conference Paper: A conceptual framework to combine forecasts based on classical multivariate analysis methods

Título:	A conceptual framework to combine forecasts based on classical multivariate analysis methods
Autor:	C. Maté
Palabras clave:	Combining forecasting, multivariate Analysis, time series, forecasting methodology, forecasts comparison, automated forecasting models
Líneas de investigación
Resumen:	In the new century, forecasting as another many tasks for managers is going to be characterised by the availabitlity of a lot of methods. Moreover, the forecast horizons are every time more diverse. On the one hand, forecast combining is an adequate methodology to handle the above scenario. On the other hand, such a setting is conceptually suitable to apply multivariate analysis. This paper reviews some of the main problems to combine efficiently forecast and studies the way to employ several methods of multivariate analysis in those problems. In particular, a methodology to elaborate combined forecasts with a large number of forecasts is proposed. Finally, several practical contexts are considered in order to assess the usefulness of such methodology.
Referencia:	21th International Symposium on Forecasting . Abstracts of the Congress.Callaway Gardens, Georgia, USA. 17-20 June 2001.
Fecha de publicación:	junio 2001
Referencia interna del documento:	IIT-01-099A

Instituto de Investigación Tecnológica