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Wavelet spectrum analysis of business cycles of China and G7 countries

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  • Jarko Fidrmuc
  • Iikka Korhonen
  • Jitka Poměnkov�

Abstract

We employ a wavelet spectrum analysis to study globalization and business cycles in China and G7 countries. The co-movement synchronization between G7 countries and China is shown to have undergone frequent and large changes during our sample period. The co-movements for business-cycle frequencies are generally different from those for other frequencies. We find a significant relationship between the time-varying wavelet measure of synchronization and trade only for business-cycle frequencies. The co-movements at longer frequencies are negatively related to trade, so that the overall co-movements and trade tend not to be significantly related.

Suggested Citation

  • Jarko Fidrmuc & Iikka Korhonen & Jitka Poměnkov�, 2014. "Wavelet spectrum analysis of business cycles of China and G7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(18), pages 1309-1313, December.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:18:p:1309-1313
    DOI: 10.1080/13504851.2014.920468
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    Cited by:

    1. Kapounek, Svatopluk & Kučerová, Zuzana, 2019. "Historical decoupling in the EU: Evidence from time-frequency analysis," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 265-280.
    2. Jitka Pomenkova & Eva Klejmova & Zuzana Kucerova, 2019. "Cyclicality in lending activity of Euro area in pre- and post- 2008 crisis: a local-adaptive-based testing of wavelets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 155-175.
    3. repec:zbw:bofitp:2018_017 is not listed on IDEAS
    4. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.
    5. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
    6. Oleksandr Faryna & Heli Simola, 2018. "The Transmission of International Shocks to CIS Economies: A Global VAR Approach," Working Papers 04/2018, National Bank of Ukraine.
    7. Bataa, Erdenebat & Osborn, Denise R. & Sensier, Marianne, 2018. "China's increasing global influence: Changes in international growth linkages," Economic Modelling, Elsevier, vol. 74(C), pages 194-206.
    8. Faryna, Oleksandr & Simola, Heli, 2018. "The transmission of international shocks to CIS economies: A Global VAR approach," BOFIT Discussion Papers 17/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    9. Faryna, Oleksandr & Simola, Heli, 2021. "The transmission of international shocks to CIS economies: A global VAR approach," Economic Systems, Elsevier, vol. 45(2).
    10. Ladislava Issever Grochová & Petr Rozmahel, 2015. "On the Ideality of Filtering Techniques in the Business Cycle Analysis Under Conditions of European Economy," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(3), pages 915-926.
    11. RNuket Kirci Cevik & Sel Dibooglu & Ali M. Kutan, 2016. "Real and Financial Sector Studies in Central and Eastern Europe: A Review," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(1), pages 2-31, February.

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