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Please use this identifier to cite or link to this item: http://hdl.handle.net/2192/99

 
Title: The Role of Common Cyclical Features for Coincident and Leading Indexes Building
Authors: Cubadda, Gianluca
Hecq, Alain
Keywords: Coincident and Leading Indexes
Common Cyclical Features
Reduced Rank Regression.
Issue Date: 14-Apr-2003
Abstract: In this paper we propose a new methodology to build composite coincident and leading indexes. Based on a formal definition which requires that the first difference of the leading index is the best linear predictor of the first difference of the coincident index, we show that the notion of polynomial serial correlation common features can be used to build these composite variables. Concepts and methods are illustrated by an empirical investigation of the US business cycle movements.
URI: http://hdl.handle.net/2192/99
Appears in Collections:4 - REPEC
Econpapers

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