The Role of Common Cyclical Features for Coincident and Leading Indexes Building
Gianluca Cubadda () and
Alain Hecq ()
Economics & Statistics Discussion Papers from University of Molise, Dept. EGSeI
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.
Keywords: Coincident and Leading Indexes; Common Cyclical Features; Reduced Rank Regression. (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:mol:ecsdps:esdp03002
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