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Czasopismo
2011 | nr 3 | 5--31
Tytuł artykułu

Business Cycle Synchronization According to Wavelets - the Case of Poland and the Euro Zone Member Countries

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Warianty tytułu
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EN
Abstrakty
EN
In the paper time-frequency analysis in the form of the maximal overlap discrete wavelet transform (MODWT) and its complex variant - the maximal overlap discrete Hilbert wavelet transform (MODHWT) is applied to study changing patterns of business cycle synchronization between Poland and 8 euro zone member countries (France, Germany, Greece, Ireland, Italy, the Netherlands, Portugal and Spain). We also touch upon the endogeneity hypothesis of the optimum currency area criteria and ask about the recent changes in business cycle variability and their influence on the level of synchronization. Wavelet analysis is a very convenient way of studying business cycles as it possesses good localization properties and is highly efficient in extracting time-varying frequency content of time series. In the paper we make use of these properties and provide a detailed characterization of the degree of business cycle synchronization among the countries under study as well as of the changing amplitudes of business cycles which are measured here as the appropriate frequency components of industrial production indices. In the examination we apply wavelet analysis of variance, wavelet correlation and cross-correlation examination as well as wavelet coherence and wavelet phase angle analysis in their global and (or) local (short-term) versions. The empirical examination points at an increasing synchronization of the Polish business cycle with the euro zone cycles as well as a fairly stable level of business cycle synchronization among the euro zone countries themselves. (original abstract)
Słowa kluczowe
Czasopismo
Rocznik
Numer
Strony
5--31
Opis fizyczny
Twórcy
  • Nicolaus Copernicus University in Toruń, Poland
Bibliografia
  • Adamowicz E., Dudek S., Pachucki D., Walczyk K. (2009), Synchronizacja cyklu koniunkturalnego polskiej gospodarki z krajami strefy euro w kontekście struktur tych gospodarek, in: Raport na temat pełnego uczestnictwa Rzeczypospolitej Polskiej w trzecim etapie Unii Gospodarczej i Walutowej, Projekty badawcze I, 8-224, NBP, http://www.nbp.pl/Publikacje/O-Euro/RE11.pdf.
  • Aguiar-Conraria L., Soares M.J. (2009), Business Cycle Synchronization Across the Euro Area: a Wavelet Analysis, NIPE Working Papers, 8/2009, University of Minho.
  • Antoniadis A., Gijbels I. (2002), Detecting Abrupt Changes by Wavelet Methods, Journal of Nonparametric Statistics, 14 (1-2), 7-29.
  • Białasiewicz J.T. (2004), Falki i aproksymacje, Wydawnictwa Naukowo-Techniczne, Warszawa.
  • Bruzda J. (2011), On Some Problems in Discrete Wavelet Analysis of Bivariate Spectra with an Application to Business Cycle Synchronization in the Euro Zone, Economics Discussion Paper, 2011-5.
  • Crowley P.M. (2007), A Guide to Wavelets for Economists, Journal of Economic Surveys, 21 (2), 207-267.
  • Crowley P.M., Lee J. (2005), Decomposing the Co-movement of the Business Cycle: A Time- Frequency Analysis of Growth Cycles In the Euro Area, Bank of Finland Research Discussion Papers, 12.
  • Crowley P.M., Maraun D., Mayes D. (2006), How Hard Is the Euro Area Core? An Evaluation of Growth Cycles Using Wavelet Analysis, Bank of Finland Research Discussion Papers, 18.
  • Darvas Z., Szapáry G. (2008), Business Cycle Synchronization in the Enlarged EU, Open Economies Review, 19 (1), 1-19.
  • Daubechies I. (1992), Ten Lectures on Wavelets, SIAM, Philadelphia.
  • Fidrmuc J., Korhonen I. (2006), Meta-analysis of the Business Cycle Correlation between the Euro Area and the CEECs, Journal of Comparative Economics, 34 (3), 518-537.
  • Gallegati M., Gallegati M. (2007), Wavelet Variance Analysis of Output in G-7 Countries, Studies in Nonlinear Dynamics and Econometrics, 11 (3), art. 6.
  • Gençay R.F., Selçuk F., Whitcher B. (2002), An Introduction to Wavelets and Other Filtering Methods in Finance and Economics, Academic Press, San Diego.
  • Gonçalves E.S., Rodrigues M., Soares T. (2009), Correlation of Business Cycles in the Euro Zone, Economics Letters, 102 (1), 56-58.
  • de Haan J., Inklaar R., Jong-A-Pin R. (2008), Will Business Cycles in the Euro Area Converge? A Critical Survey of Empirical Research, Journal of Economic Surveys, 22 (2), 234-273.
  • Haar A. (1910), Zur Theorie der orthogonalen Funktionensysteme, Mathematische Annalen, 69 (3), 331-371.
  • Huang N.E., Shen S.S.P., eds (2005), Hilbert-Huang Transform and Its Applications, World Scientific, Singapure.
  • Hughes Hallett A., Richter C.R. (2007), Time Varying Cyclical Analysis for Economies in Transition, Studies & Analyses, 334, Center for Social and Economic Research, Warsaw.
  • Jagrič T., Ovin R. (2004), Method of Analyzing Business Cycles in a Transition Economy: The Case of Slovenia, The Developing Economies, 42 (1), 42-62.
  • Kingsbury N.G. (2001), Complex Wavelets for Shift Invariant Analysis and Filtering of Signals, Journal of Applied and Computational Harmonic Analysis, 10 (3), 234-253.
  • Konopczak K. (2009), Analiza zbieżności cyklu koniunkturalnego gospodarki polskiej ze strefą euro na tle krajów Europy Środkowo-Wschodniej oraz państw członkowskich strefy, in: Raport na temat pełnego uczestnictwa Rzeczypospolitej Polskiej w trzecim etapie Unii Gospodarczej i Walutowej, Projekty badawcze, cz. III, 68-104, NBP, http://www.nbp.pl/Publikacje/O-Euro/ RE13n.pdf.
  • Mallat S. (1998), A Wavelet Tour of Signal Processing, Academic Press, San Diego.
  • Mitchell W.C. (1926), Business Cycles as Revealed by Business Annals, in: W.L. Thorp (ed.) Business Annals, National Bureau of Economic Research, New York.
  • Nason G.P. (2008), Wavelet Methods in Statistics with R, Springer Science-Business Media, New York.
  • Percival D.B. (1995), On Estimation of the Wavelet Variance, Biometrika, 82 (3), 619-631.
  • Percival D.B., Walden A.T. (2000), Wavelet Methods for Time Series Analysis, Cambridge University Press.
  • Priestley M.B. (1981), Spectral Analysis and Time Series, Academic Press, London.
  • Raihan S.M., Wen Y., Zeng B. (2005), Wavelet: A New Tool for Business Cycle Analysis, Federal Reserve Bank of St. Louis Working Paper Series, 2005-050A.
  • Ramsey J.B. (2002), Wavelets in Economics and Finance: Past and Future, Studies in Nonlinear Dynamics & Econometrics, 6 (3), art. 1.
  • Sawa C.S., Neanidis K.C., Osborn D.R. (2010), Business Cycle Synchronization of the Euro Area with the New and Negotiating Member Countries, International Journal of Finance & Economics, 15 (3), 288-306.
  • Schleicher C. (2002), An Introduction to Wavelets for Economists, Working Paper, 2002-3, Bank of Canada.
  • Selesnick I.W. (2002), The Design of Approximate Hilbert Transform Pairs of Wavelet Bases, IEEE Transactions on Signal Processing, 50 (5), 1144-1152.
  • Selesnick I.W., Baraniuk R.G., Kingsbury N.G. (2005), The Dual-tree Complex Wavelet Transform. A Coherent Framework for Multiscale Signal and Image Processing, IEEE Signal Processing Magazine, 22 (6), 123-149.
  • Skrzypczyński P. (2008), Wahania aktywności gospodarczej w Polsce i strefie euro, Materiały i Studia, 227, NBP, Warszawa.
  • Whitcher B.J. (1998), Assessing Nonstationary Time Series Using Wavelets, Ph.D. thesis, University of Washington.
  • Whitcher B.J., Craigmile P.F. (2004), Multivariate Spectral Analysis Using Hilbert Wavelet Pairs, International Journal of Wavelets, Multiresolution and Information Processing, 2 (4), 567-587.
  • Woźniak P., Paczyński W. (2007), Business Cycle Coherence between the Euro Area and the EU New Member States: a Time-Frequency Analysis, CERGE-EI Working Paper.
  • Yogo M. (2008), Measuring Business Cycles: A Wavelet Analysis of Economic Time Series, Economics Letters, 100 (2), 208-212.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171193429

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