The cyclical component factor model

Christian Dahl, Henrik Hansen and John Smidt ()
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John Smidt: School of Economics and Management, University of Aarhus, Denmark and CREATES, Postal: 8000 Aarhus C, Denmark

CREATES Research Papers from Department of Economics and Business Economics, Aarhus University

Abstract: Forecasting using factor models based on large data sets have received ample attention due to the models’ ability to increase forecast accuracy with respect to a range of key macroeconomic variables in the US and the UK. However, forecasts based on such factor models do not uniformly outperform the simple autoregressive model when using data from other countries. In this paper we propose to estimate the factors based on the pure cyclical components of the series entering the large data set. Monte Carlo evidence and an empirical illustration using Danish data shows that this procedure can indeed improve on pseudo real time forecast accuracy.

Keywords: Factor model; Cyclical components; Estimation; Real time forecasting (search for similar items in EconPapers)
JEL-codes: C13 C22 C52 C53 (search for similar items in EconPapers)
Pages: 13
Date: 2008-09-02
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-for
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https://repec.econ.au.dk/repec/creates/rp/08/rp08_44.pdf (application/pdf)

Related works:
Journal Article: The cyclical component factor model (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:aah:create:2008-44

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