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Assessing the Cross-Country Interaction of Financial Cycles: Evidence from a Multivariate Spectral Analysis of the US and the UK

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  • Till Strohsal
  • Christian R. Proaño
  • Jürgen Wolters

Abstract

In recent times, a large number of studies has investigated the empirical properties of financial cycles within countries, mainly based on band-pass filter techniques. The contribution of this paper to the literature is twofold. First, in contrast to most existing studies in the financial cycle literature, we perform a multivariate parametric frequency domain analysis which takes the complete (cross-) spectrum into account and not only certain frequencies. And second, we provide evidence on the cross-country interaction of financial cycles. We focus on the US and UK and use frequency-wise Granger causality analysis as well as structural break tests to obtain three main results. The relation between cycles has recently intensified. There is a significant Granger causality from the US financial cycle to the UK financial cycle, but not the other way around. This relationship is most pronounced for cycles between 8 and 30 years.

Suggested Citation

  • Till Strohsal & Christian R. Proaño & Jürgen Wolters, 2017. "Assessing the Cross-Country Interaction of Financial Cycles: Evidence from a Multivariate Spectral Analysis of the US and the UK," IMK Working Paper 182-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    • Handle: RePEc:imk:wpaper:182-2017
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    References listed on IDEAS

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    1. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2019. "Characterizing the financial cycle: Evidence from a frequency domain analysis," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 568-591.
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    Cited by:

    1. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    2. Christian Menden & Christian R. Proaño, 2017. "Dissecting the financial cycle with dynamic factor models," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1965-1994, December.
    3. Santander Quino, Camila Miriam, 2022. "Ciclos económicos y financieros: Una aproximación empírica para Bolivia," Documentos de trabajo 1/2022, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    4. Ashe, Sinéad & Egan, Paul, 2023. "Examining financial and business cycle interaction using cross recurrence plot analysis," Finance Research Letters, Elsevier, vol. 51(C).
    5. Martin Mandler & Michael Scharnagl, 2022. "Financial Cycles in Euro Area Economies: A Cross‐Country Perspective Using Wavelet Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 569-593, June.
    6. Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).

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    More about this item

    Keywords

    Financial Cycle; Vector Autoregressions; Indirect Spectrum Estimation; Coherency; Granger Causality;
    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
    • 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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