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How hard is the euro are core? An evaluation of growth cycles using wavelet analysis

  • Crowley , Patrick

    ()

    (College of Business, Texas A&M University)

  • Maraun , Douglas

    (Nonlinear Dynamics Group Physics Institute, University of Potsdam)

  • Mayes , David

    ()

    (Monetary Policy and Research Department,)

Using recent advances in time-varying spectral methods, this research analyses the growth cycles of the core of the euro area in terms of frequency content and phasing of cycles. The methodology uses the con-tinuous wavelet transform (CWT) and also Hilbert wavelet pairs in the setting of a non-decimated discrete wavelet transform in order to analyse bivariate time series in terms of conventional frequency domain measures from spectral analysis. The findings are that coherence and phasing between the three core members of the euro area (France, Germany and Italy) have increased since the launch of the euro.

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File URL: http://www.suomenpankki.fi/en/julkaisut/tutkimukset/keskustelualoitteet/Documents/0618netti.pdf
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Paper provided by Bank of Finland in its series Research Discussion Papers with number 18/2006.

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Length: 46 pages
Date of creation: 27 Sep 2006
Date of revision:
Handle: RePEc:hhs:bofrdp:2006_018
Contact details of provider: Postal: Bank of Finland, P.O. Box 160, FI-00101 Helsinki, Finland
Web page: http://www.suomenpankki.fi/en/

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  1. Artis, Michael J & Zhang, W, 1997. "International Business Cycles and the ERM: Is There a European Business Cycle?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(1), pages 1-16, January.
  2. Daniel Levy & Hashem Dezhbakhsh, 2002. "International Evidence on Output Fluctuation and Shock Persistence," Working Papers 2002-17, Bar-Ilan University, Department of Economics.
  3. Collard, Fabrice, 1998. "Spectral and persistence properties of cyclical growth," Journal of Economic Dynamics and Control, Elsevier, vol. 23(3), pages 463-488, November.
  4. Zarnowitz, Victor, 1985. "Recent Work on Business Cycles in Historical Perspective: A Review of Theories and Evidence," Journal of Economic Literature, American Economic Association, vol. 23(2), pages 523-80, June.
  5. Kontolemis, Zenon G, 1997. "Does Growth Vary over the Business Cycle? Some Evidence from the G7 Countries," Economica, London School of Economics and Political Science, vol. 64(255), pages 441-60, August.
  6. Kim Sangbae & In Francis Haeuck, 2003. "The Relationship Between Financial Variables and Real Economic Activity: Evidence From Spectral and Wavelet Analyses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-18, December.
  7. Andrew Hughes Hallett, Christian R Richter, 2001. "Spectral Analysis as a Tool for Financial Policy: An Analysis of the Short-End of the British Term Structure," Computing in Economics and Finance 2001 127, Society for Computational Economics.
  8. Victor Zarnowitz, 1984. "Recent Work on Business Cycles in Historical Perspective: Review of Theories and Evidence," NBER Working Papers 1503, National Bureau of Economic Research, Inc.
  9. Daniel Levy & Hashem Dezhbakhsh, 2002. "On the Typical Spectral Shape of an Economic Variable," Emory Economics 0203, Department of Economics, Emory University (Atlanta).
  10. Artis, Michael J & Zhang, Wenda, 1999. "Further Evidence on the International Business Cycle and the ERM: Is There a European Business Cycle?," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 120-32, January.
  11. Crowley , Patrick & Lee , Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Research Discussion Papers 12/2005, Bank of Finland.
  12. Patrick M. Crowley, 2005. "An intuitive guide to wavelets for economists," GE, Growth, Math methods 0508009, EconWPA.
  13. Camba-Méndez, Gonzalo & Kapetanios, George, 2001. "Spectral based methods to identify common trends and common cycles," Working Paper Series 0062, European Central Bank.
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