Financial Cycles Across G7 Economies: A View from Wavelet Analysis

Martin Mandler, Michael Scharnagl
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引用次数: 7

Abstract

We analyse the cross-country dimension of financial cycles by studying 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 crosscountry co-movements are important and how these change over time. We show cycles in interest rates and equity prices to be at least as synchronised as cycles in real GDP while cycles in credit and house prices are less synchronised. As a result, cross-country common cycles in equity prices and long-term interest rates account for a larger share of the volatility of these variables at the country level than common cycles in credit aggregates and house prices. A cluster analysis shows a high degree of similarity in the spectral characteristics of cycles in interest rates and equity prices across all countries but less similarities for cycles in credit and house price. For credit and house price cycles country-specific developments turn out to be more important than the common cross-country cycles.
G7经济体的金融周期:小波分析的视角
我们通过研究七国集团经济体中信贷、房价、股价和利率的周期性共同运动,分析金融周期的跨国维度。我们使用基于小波的统计来评估周期性波动及其跨国共同运动在哪些频率下是重要的,以及它们如何随时间变化。我们发现,利率和股价周期至少与实际GDP周期一样同步,而信贷和房价周期的同步程度则较低。因此,在国家一级,股票价格和长期利率的跨国共同周期比信贷总量和房价的共同周期在这些变量的波动中所占的份额更大。聚类分析显示,所有国家的利率和股票价格周期的频谱特征高度相似,但信贷和房价周期的相似性较低。对于信贷和房价周期而言,具体国家的发展情况比常见的跨国周期更为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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