Club convergence of house prices: Evidence from China's ten key cities

被引:22
|
作者
Meng, Hao [1 ]
Xie, Wen-Jie [2 ,3 ]
Zhou, Wei-Xing [4 ,5 ]
机构
[1] E China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China
[2] E China Univ Sci & Technol, Dept Finance, Res Ctr Econophys, Shanghai 200237, Peoples R China
[3] E China Univ Sci & Technol, Postdoctoral Res Stn, Shanghai 200237, Peoples R China
[4] E China Univ Sci & Technol, Dept Finance, Dept Math, 130 Meilong Rd, Shanghai 200237, Peoples R China
[5] E China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Econophysics; random matrix theory; club convergence; house prices; ripple effect; REAL-ESTATE BUBBLE; CROSS-CORRELATIONS; STOCK-MARKET; DYNAMICS; NOISE;
D O I
10.1142/S0217979215501817
中图分类号
O59 [应用物理学];
学科分类号
摘要
The latest global financial tsunami and its follow-up global economic recession has uncovered the crucial impact of housing markets on financial and economic systems. The Chinese stock market experienced a marked fall during the global financial tsunami and China's economy has also slowed down by about 2%-3% when measured in GDP. Nevertheless, the housing markets in diverse Chinese cities seemed to continue the almost nonstop mania for more than 10 years. However, the structure and dynamics of the Chinese housing market are less studied. Here, we perform an extensive study of the Chinese housing market by analyzing 10 representative key cities based on both linear and nonlinear econophysical and econometric methods. We identify a common collective driving force which accounts for 96.5% of the house price growth, indicating very high systemic risk in the Chinese housing market. The 10 key cities can be categorized into clubs and the house prices of the cities in the same club exhibit an evident convergence. These findings from different methods are basically consistent with each other. The identified city clubs are also consistent with the conventional classification of city tiers. The house prices of the first-tier cities grow the fastest and those of the third- and fourth-tier cities rise the slowest, which illustrates the possible presence of a ripple effect in the diffusion of house prices among different cities.
引用
收藏
页数:17
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