Empirical study on influence of credit regulation polices to real estate industry

被引：0

作者：

Chen, DS ^{[1
]}

Lei, JS ^{[1
]}

机构：

[1] Tsing Hua Univ, Sch Management, Beijing 100084, Peoples R China

来源：

Proceedings of 2005 International Conference on Construction & Real Estate Management, Vols 1 and 2: CHALLENGE OF INNOVATION IN CONSTRUCTION AND REAL ESTATE | 2005年

关键词：

credit; bubble; regulation polices; real estate;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper employs Multivariate Regression Models, Seemingly Unrelated Regression and the Country Real Estate Prosperity Indices to empirical study influence of a series of credit regulation policy on real estate enterprises and real estate industry of China during 2002 to 2004. The empirical study shows that China's deflatable credit regulation policy produced three effectiveness as follows: (1) Public listed real estate enterprises produced significant negative cumulative abnormal return ratio and the shareholders' property reduced. (2) The systematic risk of public listed real estate enterprises significantly increased. (3) Investment of the whole real estate industry were slowed, and the price of real estate were risen.

引用

页码：1031 / 1033

页数：3

共 50 条

[31] Study on the service innovation mode of the real estate industry: Pyramid model
Zhai Yunkai
Proceedings of 2006 International Conference on Construction & Real Estate Management, Vols 1 and 2: COLLABORATION AND DEVELOPMENT IN CONSTRUCTION AND REAL ESTATE, 2006, : 1380 - 1384
[32] THE ROLE OF REAL ESTATE DERIVATIVES IN HEDGING REAL ESTATE: AN EMPIRICAL ANALYSIS OF THE US COMMERCIAL MARKET
Berk, Cem
Economic and Social Development: 13th International Scientific Conference on Economic and Social Development, 2016, : 331 - 339
[33] Empirical Researches on Macroeconomic Influence factors in Real Estate Based on Data Mining (DM)
Yan, Zhenlin
AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2729 - 2732
[34] Empirical Study on Real Estate Mass Appraisal Based on Dynamic Neural Networks
Chen, Chao
Ma, Xinsheng
Zhang, Xiaojia
BUILDINGS, 2024, 14 (07)
[35] A Pricing Approach to Enhance the Adaptability and Accuracy of Real Estate Price: An Empirical Study
Zhang Qing-hua
Cheng Bin-Wu
Peng Xv
2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (ICMSE), 2010, : 1638 - 1645
[36] Establishing the scale of salespeople's service quality - An empirical study in real estate
Wang Jing
Wang Keyi
Proceedings of 2006 International Conference on Construction & Real Estate Management, Vols 1 and 2: COLLABORATION AND DEVELOPMENT IN CONSTRUCTION AND REAL ESTATE, 2006, : 1648 - 1651
[37] Real Estate Regulation and Default Risk on Financial Lease Contracts
Mou, Xuefeng
Li, Shi
EMERGING MARKETS FINANCE AND TRADE, 2024, 60 (03) : 617 - 630
[38] Research on influence factors for real estate industry based on business process in supply chain
Ge, BS
Li, N
Wu, WK
Proceedings of 2005 International Conference on Construction & Real Estate Management, Vols 1 and 2: CHALLENGE OF INNOVATION IN CONSTRUCTION AND REAL ESTATE, 2005, : 955 - 959
[39] Credit Risk Research of Real Estate Based on Markov Chain
Xu, Li
Li, Jinlin
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON RISK AND RELIABILITY MANAGEMENT, VOLS I AND II, 2008, : 185 - 188
[40] Sustainable development of Chinese real estate industry
Hu, TL
Zhang, HQ
PROCEEDINGS OF CRIOCM 2005 INTERNATIONAL RESEARCH SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE, 2005, : 674 - 677

← 1 2 3 4 5 →