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Financial cycles across G7 economies: A view from wavelet analysis

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  • Mandler, Martin
  • Scharnagl, Michael

Abstract

We analyse the cross-country dimension of financial cycles by examining cyclical co-movements in credit, house prices, equity prices and interest rates across the G7 economies. We use wavelet-based statistics to assess at which frequencies cyclical fluctuations and their cross-country co-movements are important and how these change over time. We show that cycles in interest rates and equity prices are at least as synchronised as cycles in real GDP, while cycles in credit and house prices are less synchronised. Furthermore, we propose a measure of the importance of common cycles for developments in individual countries. It shows that common cycles across countries in equity prices and long-term interest rates account for a larger share of the volatility of these variables at the country level than is the case for common cycles in credit aggregates. The importance of common cycles for fluctuations at the country level is roughly similar for house price growth and long-term interest rates.

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  • Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
  • Handle: RePEc:eee:joecas:v:26:y:2022:i:c:s1703494922000378
    DOI: 10.1016/j.jeca.2022.e00277
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    1. Scharnagl Michael & Mandler Martin, 2019. "Real and Financial Cycles in Euro Area Economies: Results from Wavelet Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(5-6), pages 895-916, October.
    2. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    3. Schüler, Yves S., 2020. "On the credit-to-GDP gap and spurious medium-term cycles," Economics Letters, Elsevier, vol. 192(C).
    4. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    5. Coussin, Maximilien, 2022. "Singular spectrum analysis for real-time financial cycles measurement," Journal of International Money and Finance, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Financial cycles; Wavelet analysis; Cross-country common cycles;
    All these keywords.

    JEL classification:

    • 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
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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