Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility

被引:8
|
作者
He, Xie [1 ]
Cai, Xiao-Jing [1 ]
Hamori, Shigeyuki [1 ]
机构
[1] Kobe Univ, Grad Sch Econ, Nada Ku, 2-1 Rokkodai, Kobe, Hyogo 6578501, Japan
来源
JOURNAL OF RISK AND FINANCIAL MANAGEMENT | 2018年 / 11卷 / 04期
关键词
housing price; bank credit; housing loans; real estate development loans; TVP-VAR model;
D O I
10.3390/jrfm11040090
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Housing prices in China have been rising rapidly in recent years, which is a cause for concern for China's housing market. Does bank credit influence housing prices? If so, how? Will the housing prices affect the bank credit system if the market collapses? We aim to study the dynamic relationship between housing prices and bank credit in China from the second quarter of 2005 to the fourth quarter of 2017 by using a time-varying parameter vector autoregression (VAR) model with stochastic volatility. Furthermore, we study the relationships between housing prices and housing loans on the demand side and real estate development loans on the supply side, separately. Finally, we obtain several findings. First, the relationship between housing prices and bank credit shows significant time-varying features; second, the mutual effects of housing prices and bank credit vary between the demand side and supply side; third, influences of housing prices on all kinds of bank credit are stronger than influences in the opposite direction.
引用
收藏
页数:16
相关论文
共 50 条
  • [11] Welfare influences of green energy volatility in Vietnam: new evidence from an extended TVP-VAR approach
    Ha L.T.
    Environmental Science and Pollution Research, 2024, 31 (25) : 36291 - 36306
  • [12] TVP-VAR BASED CARR-VOLATILITY CONNECTEDNESS: EVIDENCE FROM THE RUSSIAN-UKRAINE CONFLICT
    Ari, Yakup
    EKONOMI POLITIKA & FINANS ARASTIRMALARI DERGISI, 2022, 7 (03): : 590 - 607
  • [13] On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility
    Jebabli, Ikram
    Arouri, Mohamed
    Teulon, Frederic
    ENERGY ECONOMICS, 2014, 45 : 66 - 98
  • [14] The Dynamic Impacts of the COVID-19 Pandemic on Log Prices in China: An Analysis Based on the TVP-VAR Model
    Tao, Chenlu
    Diao, Gang
    Cheng, Baodong
    FORESTS, 2021, 12 (04):
  • [15] Carbon Market Efficiency and Economic Policy Uncertainty: Evidence from a TVP-VAR Model
    Liu, Min
    Huang, Rong
    Lu, Yang
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2024, 2024
  • [16] Exploring the dynamic effects of financial factors on oil prices based on a TVP-VAR model
    Wen, Fenghua
    Zhang, Minzhi
    Deng, Mi
    Zhao, Yupei
    Ouyang, Jian
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 532
  • [17] Dynamic credit risk transmissions among global major industries: Evidence from the TVP-VAR spillover approach
    Lim, Seo-Yeon
    Choi, Sun-Yong
    NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2024, 74
  • [18] Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system
    Zhao, Jing
    RESOURCES POLICY, 2023, 82
  • [19] Contribution of the Optimization of Financial Structure to the Real Economy: Evidence from China's Financial System Using TVP-VAR Model
    Liu, Xiaoye
    Yin, Kedong
    Cao, Yun
    MATHEMATICS, 2021, 9 (18)
  • [20] Climate policy uncertainty, market volatility and sustainable investing: new insights from a TVP-VAR framework
    Su, Xianfang
    Guo, Dawei
    Yuan, Shuaiqiang
    APPLIED ECONOMICS LETTERS, 2024,