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Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018

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  • Škare, Marinko
  • Porada-Rochoń, Małgorzata

Abstract

We isolate and analyze financial cycles for ten selected economies based on quarterly time-series data from 1970 to 2018. Our study shows that a global financial cycle lasts nine years on average with long-memory properties (no mean reversion after the shock). Most countries exhibit the same duration (8.93 years) for specific financial cycles, but some countries register longer cycles (Belgium 10.42 years, Denmark 10 years, Germany 10.42 years, and France 9.26 years). Previous financial cycle studies employed a composite index based on an average medium–term cycle, vector autoregression, turning points, and standard frequency-based filters, but could not incorporate all information derived from the data generation process. We obtain more robust and conclusive results by using multi-channel singular-spectrum analysis with the available variables to extract a financial cycle. Policymakers and finance practitioners should recognize the reality of global (and country-specific) financial cycles.

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  • Škare, Marinko & Porada-Rochoń, Małgorzata, 2020. "Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018," Journal of Business Research, Elsevier, vol. 112(C), pages 567-575.
  • Handle: RePEc:eee:jbrese:v:112:y:2020:i:c:p:567-575
    DOI: 10.1016/j.jbusres.2019.10.047
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    Cited by:

    1. Marinko Škare & Małgorzata Porada-Rochoń, 2021. "Measuring the impact of financial cycles on family firms: how to prepare for crisis?," International Entrepreneurship and Management Journal, Springer, vol. 17(3), pages 1111-1130, September.
    2. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Škare, 2021. "Are family firms in the eyes of economic policy?," International Entrepreneurship and Management Journal, Springer, vol. 17(3), pages 1233-1259, September.
    3. Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Shengnan Lv & Zeshui Xu & Xuecheng Fan & Yong Qin & Marinko Skare, 2023. "The mean reversion/persistence of financial cycles: Empirical evidence for 24 countries worldwide," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 11-47, March.

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    More about this item

    Keywords

    Financial cycles; Multi-channel singular-spectrum analysis (MSSA); Spectrum analysis; Frequency domain; Credits;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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