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A Wavelet-Based Approach to Filter Out Symmetric Macroeconomic Shocks

Author

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  • Roman Marsalek

    ()

  • Jitka Pomenkova

    ()

  • Svatopluk Kapounek

    ()

Abstract

We propose a novel method for econometric time series analysis. This method acts as the comovement-selective filter and is useful to filter out the cycles that are caused by an global event present in the reference time series. We demonstrate its applicability on removing symmetric macroeconomic shock caused by recent financial crisis from the business cycle of the euro area according to the comovement with the United States. The application allowing to identify the country specific business cycles in the Visegrad countries data using the comovement with Germany is also presented. The method is based on the continuous wavelet transform, its inverse and the comovement measurement in the time-frequency domain. Its application also enables to uncover detailed development of the business cycle synchronization in time. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Roman Marsalek & Jitka Pomenkova & Svatopluk Kapounek, 2014. "A Wavelet-Based Approach to Filter Out Symmetric Macroeconomic Shocks," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 477-488, December.
  • Handle: RePEc:kap:compec:v:44:y:2014:i:4:p:477-488
    DOI: 10.1007/s10614-013-9403-x
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    References listed on IDEAS

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    1. Yogo, Motohiro, 2008. "Measuring business cycles: A wavelet analysis of economic time series," Economics Letters, Elsevier, vol. 100(2), pages 208-212, August.
    2. de Carvalho, Miguel & Rodrigues, Paulo C. & Rua, António, 2012. "Tracking the US business cycle with a singular spectrum analysis," Economics Letters, Elsevier, vol. 114(1), pages 32-35.
    3. Alessandra Iacobucci & Alain Noullez, 2005. "A Frequency Selective Filter for Short-Length Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 75-102, February.
    4. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    5. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
    6. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    7. Fidrmuc, Jarko & Ikeda, Taro & Iwatsubo, Kentaro, 2012. "International transmission of business cycles: Evidence from dynamic correlations," Economics Letters, Elsevier, vol. 114(3), pages 252-255.
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    Cited by:

    1. repec:prg:jnlpep:v:preprint:id:512:p:1-18 is not listed on IDEAS
    2. Jitka Poměnková & Roman Maršálek, 2015. "Empirical Evidence of Ideal Filter Approximation: Peripheral and Selected EU Countries Application," Prague Economic Papers, University of Economics, Prague, vol. 2015(5), pages 485-502.
    3. Zuzana Kucerova & Jitka Pomenkova, 2014. "Financial and Trade Integration of Selected EU Regions: Dynamic Correlation and Wavelet Approach," MENDELU Working Papers in Business and Economics 2014-45, Mendel University in Brno, Faculty of Business and Economics.
    4. Svatopluk Kapounek & Zuzana Kucerova, 2018. "Historical Decoupling in the EU: Evidence from Time-Frequency Analysis," MENDELU Working Papers in Business and Economics 2018-75, Mendel University in Brno, Faculty of Business and Economics.
    5. repec:prg:jnlpep:v:2015:y:2015:i:5:id:512:p:1-18 is not listed on IDEAS

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