TY - JOUR
T1 - Super-exponential expansion model about recognition of housing market bubble
T2 - In case of all districts in Beijing and Shanghai
AU - Zheng, Haitao
AU - Hao, Junzhang
AU - Lin, Li
AU - Zhang, Wenrui
AU - Ren, Ruoen
N1 - Publisher Copyright:
© 2018, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - The housing price in China has been raising for recent years, and the average housing sale prices for in Beijing and Shanghai have remained the top two in China. Now the housing prices in Beijing and Shanghai are still in the ascending, which rises people's concern that whether or not there is bubble in Beijing and Shanghai's housing market. Based on the second-hand housing sale price of each district in Beijing and Shanghai, this paper sets up super-exponential bubble model with stochastic mean-reverting critical times to detect and recognize the bubble of the over housing market. The paper distinguishes different level of bubble expansion and different stability of accumulation, and inspects the critical times that the bubbles will burst. Employing this model, the empirical study for housing market of Beijing and Shanghai between Dec. 2007 and Oct. 2015 indicates that housing bubble can be detected and the strength as well as stability of bubbles among 29 districts be also measured. Finally, we use this model to find that different levels of speculation bubble exist among all the districts of Beijing and Shanghai.
AB - The housing price in China has been raising for recent years, and the average housing sale prices for in Beijing and Shanghai have remained the top two in China. Now the housing prices in Beijing and Shanghai are still in the ascending, which rises people's concern that whether or not there is bubble in Beijing and Shanghai's housing market. Based on the second-hand housing sale price of each district in Beijing and Shanghai, this paper sets up super-exponential bubble model with stochastic mean-reverting critical times to detect and recognize the bubble of the over housing market. The paper distinguishes different level of bubble expansion and different stability of accumulation, and inspects the critical times that the bubbles will burst. Employing this model, the empirical study for housing market of Beijing and Shanghai between Dec. 2007 and Oct. 2015 indicates that housing bubble can be detected and the strength as well as stability of bubbles among 29 districts be also measured. Finally, we use this model to find that different levels of speculation bubble exist among all the districts of Beijing and Shanghai.
KW - Each district in Beijing and Shanghai
KW - Early warning
KW - Housing price bubble
KW - Stochastic mean-reversing termination times model
UR - https://www.scopus.com/pages/publications/85046710512
U2 - 10.12011/1000-6788(2018)03-0585-09
DO - 10.12011/1000-6788(2018)03-0585-09
M3 - 文章
AN - SCOPUS:85046710512
SN - 1000-6788
VL - 38
SP - 585
EP - 593
JO - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
JF - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
IS - 3
ER -