4.6 Article

Real estate bubbles in a bank-real estate loan network model integrating economic cycle and macro-prudential stress testing

出版社

ELSEVIER
DOI: 10.1016/j.physa.2019.122576

关键词

Economic cycle; Real estate bubbles; Macro-prudential stress testing; Bank-real estate loan network; Systemic financial risk

资金

  1. National Natural Science Foundation of China [71671037, 71501094, 71871115, 71971111]
  2. Humanities and Social Science Planning Foundation of the Ministry of Education of China [16YJA630026, 17YJC630128, 19YJAZH086]
  3. Key Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province [2018SJZDI046, 2018SJZDI063]
  4. Outstanding Innovation Team of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province [2017ZSTD005]
  5. Postgraduate Research & Practice Innovation Program of Jiangsu Province [SJKY19_0146]
  6. Scientific Research Foundation of Graduate School of Southeast University [YBPY1942]

向作者/读者索取更多资源

The real estate industry plays a decisive role in the national economy. Once real estate bubbles burst, it will trigger the turbulence of the whole economic system and even lead to serious economic crisis. From the perspective of macro-prudential stress testing, this paper constructs a risk contagion model of bank-real estate loan network. With the help of the data of 136 banks that provided loans for the real estate industry from 2012 to 2017, a macro-prudential stress testing is conducted on the bank-real estate loan system and real estate bubbles. The main conclusions are as follows: (1) Asset depreciation coefficient, bank panic coefficient and bank leverage rate have little impact on the stability of the banking system and the state of real estate bubbles, but the scale of bank assets has a significant impact on them in the whole economic cycle. (2) During the recession period, when China's banks that are too big to fail'' have not been subjected to excessive shocks, the entire banking system will remain relatively stable and real estate bubbles will not burst. (3) Compared with the recession period, the bank survival ratio is higher under the influence of asset depreciation coefficient, bank panic coefficient and bank leverage rate in the recovery period. And the probability of the system being completely robust increases under the influence of the scale of bank asset, while the probability of being extremely vulnerable decreases. (4) Compared with the recession and recovery period, the bank survival ratio is higher under the influence of asset depreciation coefficient in overheating period, and it is lower under the influence of bank panic coefficient and bank leverage rate. Moreover, under the influence of the scale of bank assets, the probability of the system being completely robust increases, while the probability of being extremely vulnerable decreases. (5) The banking system has significant hierarchical and functional differences in China. It reflects that China should focus on large state-owned banks and joint-stock banks when preventing real estate bubbles from breaking up. (C) 2019 Published by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据