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Measuring business cycles: Empirical Mode Decomposition of economic time series

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  • Kožić, Ivan
  • Sever, Ivan

Abstract

This paper continues discussion on the issue of time series decomposition by presentation of the Empirical Mode Decomposition technique. This technique outperforms well-known time-series filters by providing a deeper insight into the structure of time series.

Suggested Citation

  • Kožić, Ivan & Sever, Ivan, 2014. "Measuring business cycles: Empirical Mode Decomposition of economic time series," Economics Letters, Elsevier, vol. 123(3), pages 287-290.
    • Handle: RePEc:eee:ecolet:v:123:y:2014:i:3:p:287-290
    DOI: 10.1016/j.econlet.2014.03.009
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    References listed on IDEAS

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    1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    2. Yogo, Motohiro, 2008. "Measuring business cycles: A wavelet analysis of economic time series," Economics Letters, Elsevier, vol. 100(2), pages 208-212, August.
    3. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
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    Citations

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    Cited by:

    1. Ya-Wen Lai, 2017. "Output gaps and the New Keynesian Phillips curve: An application of the Empirical Mode Decomposition," Economics Bulletin, AccessEcon, vol. 37(2), pages 952-961.
    2. Victor Pontines, 2017. "Extracting and Measuring Periodicities of Credit and Housing Cycles: Evidence from Eight Economies," Working Papers wp28, South East Asian Central Banks (SEACEN) Research and Training Centre.
    3. Lin, Yu & Yan, Yan & Xu, Jiali & Liao, Ying & Ma, Feng, 2021. "Forecasting stock index price using the CEEMDAN-LSTM model," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Raphael Douglas de Freitas Lucena & Rodolfo Ferreira Ribeiro Costa & Ivan Castelar & Francisco Soares de Lima, 2021. "Dynamic Analysis of Criminal Behavior: An Application of Empirical Mode Decomposition," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(4), pages 1-47, April.
    5. Ke Gong & Yi Peng & Yong Wang & Maozeng Xu, 2018. "Time series analysis for C2C conversion rate," Electronic Commerce Research, Springer, vol. 18(4), pages 763-789, December.
    6. Xu, Chao & Zhao, Xiaojun & Wang, Yanwen, 2022. "Causal decomposition on multiple time scales: Evidence from stock price-volume time series," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).

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    More about this item

    Keywords

    Business cycle; Empirical Mode Decomposition; Band-pass filter;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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