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Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area

  • Crowley , Patrick


    (Bank of Finland Research and College of Business, Texas A&M University)

  • Lee , Jim

    (College of Business, Texas A&M University)

This article analyses the frequency components of European business cycles using real GDP by employ-ing multiresolution decomposition (MRD) with the use of maximal overlap discrete wavelet transforms (MODWT). Static wavelet variance and correlation analysis is performed, and phasing is studied using co-correlation with the euro area by scale. Lastly dynamic conditional correlation GARCH models are used to obtain dynamic correlation estimates by scale against the EU to evaluate synchronicity of cycles through time. The general findings are that euro area members fall into one of three categories: i) high and dynamic correlations at all frequency cycles (eg France, Belgium, Germany), ii) low static and dy-namic correlations, with little sign of convergence occurring (eg Greece), and iii) low static correlation but convergent dynamic correlations (eg Finland and Ireland).

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Paper provided by Bank of Finland in its series Research Discussion Papers with number 12/2005.

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Length: 72 pages
Date of creation: 11 May 2005
Date of revision:
Handle: RePEc:hhs:bofrdp:2005_012
Contact details of provider: Postal: Bank of Finland, P.O. Box 160, FI-00101 Helsinki, Finland
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