NETWORK ANALYSIS OF HOUSING PRICE COMOVEMENTS OF A HUNDRED CHINESE CITIES

被引：52

作者：

Xu, Xiaojie ^{[1
]}

Zhang, Yun ^{[1
]}

机构：

[1] North Carolina State Univ, Raleigh, NC 27695 USA

来源：

NATIONAL INSTITUTE ECONOMIC REVIEW | 2023年 / 264卷

关键词：

housing price; comovement; network; hierarchy; US CORN CASH; CONTEMPORANEOUS CAUSAL ORDERINGS; STOCK INDEX; NEURAL-NETWORK; TIME-SERIES; FUTURES; DISCOVERY; MARKET; TRANSMISSION; COINTEGRATION;

D O I：

10.1017/nie.2021.34

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Housing price comovements are an important issue in economics. This study focuses on monthly housing prices of 99 major cities in China for the years 2010 2019 by using correlation-based hierarchical analysis and synchronisation analysis, through which one could determine interactions and interdependence among the prices, heterogeneous patterns in price synchronisations and their changing paths over time. Empirical results show that the degree of comovements is slightly lower after March 2017 but no persistent drop is found. Several groups of cities are identified, each of which has its members showing relatively strong but volatile price synchronisations. Certain cities show potential of serving as price leaders within a group. Results here could be useful to policy analysis regarding housing price comovements.

引用

页码：110 / 128

页数：19

共 81 条

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