(A)Synchronous Housing Markets of Global Cities

Vipul Bhatt, N. Kundan Kishor
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Abstract

In this paper we examine house price synchronization in 15 global cities using real house price data from 1995:Q1-2020:Q2. We find that although there is evidence for bilateral positive phase synchronization, there is no evidence for an integrated global housing market for our sample of cities. Using a hierarchical clustering approach, we identify three clusters of cities with similar housing price cycles that are not solely determined by geographic proximity. We interpret this finding as suggestive of a rather segmented housing market for the global cities in our sample. Using a dynamic factor model with time-varying stochastic volatility, we decompose a city’s real housing price growth into a global component, a cluster-based component, and an idiosyncratic component. For most cities in our sample, the global component plays a minor role, whereas the cluster-based factor explains a large fraction of the observed variation in real house price growth, with its contribution peaking during the Great Recession of 2007-09.

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(A)全球城市同步住房市场
在本文中,我们使用1995年第一季度至2020年第二季度的真实房价数据来研究全球15个城市的房价同步。我们发现,尽管存在双边正相位同步的证据,但在我们的城市样本中,没有证据表明存在一体化的全球住房市场。使用分层聚类方法,我们确定了三个具有相似房价周期的城市群,这些城市群不仅仅由地理邻近性决定。我们将这一发现解释为在我们的样本中,全球城市的住房市场相当细分。采用时变随机波动的动态因子模型,将城市实际房价增长分解为全局分量、集群分量和特质分量。对于我们样本中的大多数城市,全球因素起着次要作用,而基于集群的因素解释了实际房价增长中观察到的很大一部分变化,其贡献在2007-09年的大衰退期间达到顶峰。
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