英国的波动溢出效应和区域办公室市场连通性

M. White, Qiulin Ke
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摘要

各国内部的经济一体化和区域连通性可能意味着投资组合多样化的机会有限。先前对英国写字楼市场的研究发现,在租金对需求侧和供给侧因素的敏感性方面,各地区之间存在相似之处(Hendershott et al., 2002)。此外,Attanasio等人(2009)指出,可能存在某种形式的共同因果关系,将区域联系起来,从而导致显著的相关性。然而,各地区的增加值各不相同,正如Stevenson等人(2014)所指出的,房地产资产的表现比资本市场更受经济基本面的驱动。虽然国际投资可能带来投资组合多样化,但房地产投资高度集中在少数几个主要城市,而这些城市的经济往往以金融部门为基础,这一事实可能导致人们重新关注并重新审视某一国家内各地区的投资机会。因此,在本文中,我们研究了伦敦之后英国六个主要区域城市的写字楼市场。首先,我们提供了区域房地产市场和经济相关程度的证据。其次,我们采用广义向量自回归方法来捕获收益和波动溢出。第三,继Diebold和Yilmaz(2009)的研究之后,我们采用方差分解分析来找到每个城市自身和其他城市的方差份额。最后,我们讨论了这种关系是稳定的还是时变的,因此多元化利益可能仍然存在的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Volatility Spillovers and Regional Office Market Connectedness in the UK
Economic integration and regional connectedness within countries may imply limited opportunities for investment portfolio diversification. Previous research on UK office markets has identified similarities between regions in relation the sensitivity of rent to demand and supply side factors (Hendershott et al., 2002). Furthermore, Attanasio et al., (2009) note that there may be some form of common causality that links regions therefore leading to significant correlations. However, regions vary in value added and as indicated by Stevenson et al., (2014), the performance of real estate assets is driven by economic fundamentals more so than in the case of capital markets. While international investment may deliver portfolio diversification, the fact that real estate investment is highly concentrated in a small number of key cities whose economies are often underpinned by the financial sector, may result in renewed interest in, and a re-examination of, investment opportunities in regions within a given country.Therefore, in this paper we examine office markets in the six main regional cities in the UK, after London. First, we provide evidence of the extent to which regional real estate markets and economies are correlated. Second, we adopt a generalised vector autoregressive approach to capture return and volatility spillovers. Third, following the research developed by Diebold and Yilmaz (2009) we employ variance decomposition analysis to find the share of each city’s own variance to itself and to other cities. Finally, we whether relationships are stable or time varying and therefore the extent to which diversification benefits may still exist.
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