基于均衡分析的我国房地产泡沫度分析

基于均衡分析得到一个检测房地产价格合理性的理论参照,通过将计算出的房地产泡沫度在时间上做纵向对比以及在不同地区间做横向对比,考察现阶段我国房地产泡沫的严重程度。结果表明,现阶段我国大陆总体上的房地产泡沫度与房地产过热阶段的1993年相差不大,与楼市高峰时的香港有不小的差距;我国内地省市的房地产泡沫度一般较低,部分沿海地区接近或超过了楼市高峰时的香港。     

房地产价格指数周期的宏观分析

本文建立了中国房地产价格指数的投机度模型,区分了房地产价格增长的价值和泡沫成分,动态刻画了一个由基本面增长、泡沫推动及价格的价值回归等因素共同作用形成的完整房地产价格周期,定量地研究了现阶段我国房地产的泡沫度及其发展趋势,得出了我国房地产市场泡沫成分对货币流动性高度敏感的结论。通过稳定性测试,我们定量分析了货币政策回归稳健对房地产市场可能带来的冲击,并对地方政府、商业银行及监管部门提供了建议。     

中国房地产业泡沫实证分析

中国楼市风云变幻,房地产泡沫说法成为时下流行语,究竟中国房地产形势如何？房地产泡沫真的处于＂破裂的前夜＂吗？中国的房地产价格是否存在泡沫是近年来大家持续关注的一个话题,而用哪些指标来评价一国的房地产行业价格是否存在泡沫是很多学者关心的课题。在本文中,首先对房地产业进行定性分析,在前人研究成果的基础上提出用Ramsey模型简化计算房产基础价值,对房地产进行实证分析,证实中国确实存在这一定的房地产泡沫,并且处于泡沫经济的警戒区,最后为预防房地产泡沫经济,本文提出相应的几点建议。     

房地产泡沫问题:西方主流观点在我国的检验

本文介绍了发达国家在房地产泡沫问题上的主要观点并与我国当前的情况进行对比检验,认为在泡沫产生原因、抑制泡沫的方法等方面发达国家的经验对我国有重要的借鉴意义。     

浅谈中国当前的房地产泡沫

2016年10月起,各省市推出一系列房产调控政策,楼市政策主旋律由"去库存"切换至"稳房价",政府也展现出了抑制高房价的决心。我们不禁要问,当前中国房地产泡沫的现状究竟如何?一系列暴风骤雨的政策出台后,我国的房地产泡沫能否有所改观?     

香港房地产市场运行规律分析

<正>最近几年,我国房地产市场成为关注的焦点。香港房地产市场发展得比较早,数据比较齐全,研究香港房地产市场运行历程对我们有一定借鉴的意义。香港楼市自1982年以来,一共经历了三次价格大幅下跌,第一次是受1998年金融风暴的影响,第二次是受2003年非典的影响,第三次是受2008年金融危机的影响,其中影响最大的是1998年金融风暴。由此,可将香港1982年以来的楼市划分为三个阶段:第一个阶段     

楼市迷局：向左？向右？——楼市调控缘何屡屡成空调

中国楼市走出了一个个十字路口，随即又走进了一个个迷局。是任由泡沫进一步吹大，以致无可避免地走向崩盘，还是慢慢挤压泡沫，让房地产市场走向健康平稳的发展道路？是兼顾推动经济与改善民生，还是放任楼市成为加速贫富分化的逐利场？政府显然正在做着艰难的选择。     

房地产泡沫与金融风险关联机制研究

房地产业与金融业关联度很强,金融支持过度会形成房地产泡沫,房地产泡沫的破灭又会导致金融危机,造成经济衰退。鉴于当前我国正处于防范房地产泡沫与金融风险的关键时期,本文对国内外相关经验教训及研究做了回顾,定量分析了房地产业与金融业的关联关系,建立了房地产泡沫与金融风险关联机制模型,并对其进行了关联机理研究,提出了防范房地产泡沫与金融风险的政策建议。     

房地产市场泡沫测度:珠三角实证

准确测度一国或地区的房地产市场泡沫水平和投机程度,是正确认识和有效解决房地产市场相关问题的基础.2008年,我国房地产市场价格在持续快速上涨后出现一定程度的回落,在市场的波动中如何准确测算其泡沫程度值得关注.目前对于房地产泡沫的测度方法不一,本文综合采用多种方法测算珠三角房地产市场泡沫,力求全面准确反映房地产市场真实的泡沫程度和房价合理度.结论显示:珠三角各地市房地产市场都存在不同程度的泡沫,当前的房价不尽合理,首付款和还贷压力均成为抑制市场需求的瓶颈.     

房地产泡沫解码

房地产泡沫的坚硬性令很多市场人士不解。2008年第三、四季度，受股市大跌、国内流动性严重收缩影响，房价下跌接近30％，但现在很多地方已创新高。楼市泡沫愈挫愈奋、甚为坚挺说明我们对房地产的“泡沫”理解出现了明显偏差。而如何对高房价、房地产泡沫问题进行科学的分析和准确的判断，已成为社会各界争论不休的一大话题。     

The Impacts of Tiananmen Square Events on Hong Kong Real Estate and Non-real Estate Wealth

Based on the unique characteristics of real estate, the hypothesis of significant additional political sensitivity of real estate has been developed and tested in this study. By classifying six major kinds of events that took place preceding and during the Tiananmen Square demonstrations and performing the multivariate test, this study finds evidence that Hong Kong real estate, overall, is more sensitive than other Hong Kong industries to major political events in China.     

Common factors in international securitized real estate markets

This study investigates the presence of common factors in the securitized real estate markets of the Untied States (US), United Kingdom (UK), Hong Kong (HK), and Singapore (SG). Using a combination of factor analysis and canonical correlation analysis on 10-year monthly return data for 142 real estate securities in the four markets, more common risk factors among real estate securities within a country than across countries are detected. In addition, there is at least one common securitized real estate market factor that is moderately correlated with the world real estate market, and to a lesser extent, with the world stock market. However, the degree of linkage across the four securitized real estate markets is much weaker than the strong linkages present across the four economies. It further appears that the extent to which correlations are found in international securitized real estate markets might largely be due to the increasing integrated nature of the world real economy, rather than a result of the globalization of financial markets. The results are preliminary, but indicative, and suggest that more studies exploring how common factors, together with the local market portfolio, could help explain the return-generating process of securitized real estate.     

基于改进BP神经网络的房地产泡沫测度评价研究

当前房地产是否存在泡沫,如何测度这种泡沫程度,是当前舆论界和理论界研究和讨论的热点。通过分析房地产泡沫的深层次影响因素,并据此建立了四个层次测度指标体系。基于用变尺度法改进的BP网络建立了房地产泡沫测度模型,并通过一个实例进行应用和说明。     

Are stock and real estate markets integrated? An empirical study of six Asian economies

Rising asset prices spurred by Asia's emerging economy have drawn much attention recently. This study examines one source of growth patterns in asset prices by analyzing the integration relationship between stock markets and real estate markets in Asia. Six economies are selected for empirical analysis: China, Hong Kong, Japan, Singapore, South Korea, and Taiwan. Results show that stock markets are integrated with real estate markets in Japan, and partially integrated with real estate markets in China, Hong Kong, and Taiwan. This implies that these two investment vehicles are substitutable in China, Hong Kong, Japan, and Taiwan, and provide diversification potential for investment portfolios in South Korea and Singapore. Examining the timing of market changes, we found the real estate market leading the stock market in some countries, and the stock market leading the real estate market in others. We conclude that stock and real estate markets show a variety of inter-relationships depending on economic and political policy environments.     

我国房地产业蕴含的金融风险及相关政策调整

本文对当前我国房地产业发展的总体情况和存在的突出矛盾进行了考察，并在此基础上，总结了上个世纪80年代以来发生的典型房地产泡沫危机，分析了房地产泡沫危机和金融危机的关系，以及目前我国房地产业潜在的风险．提出了促进我国房地产业健康发展的政策建议．自去年开始，我国政府针对房地产市场过热的问题实行了从紧的宏观调控措施．这次宏观调控的效果显现时间与美国由次贷问题引发的金融危机相重合。在国内经济政策调整和国际经济环境恶化这样一个大背景下．正确判断我国房地产市场发展情况，分析房地产市场与金融运行之间的相互影响，对于稳步实施房地产业政策调整。防范房地产泡沫与金融风险，促进房地产业、金融和经济的健康发展具有重要意义。     

香港银行业防范房地产信贷风险的经验及启示

房地产贷款是香港银行业的主要盈利来源.亚洲金融危机期间,香港物业价格大幅下跌,导致大量的负资产按揭贷款.然而,在如此严峻的形势下,香港银行业依然稳健,没有出现银行倒闭或要求政府提供财政援助的情况.研究香港银行业及监管部门成功应对房地产价格波动的经验,对于内地银行业防范房地产价格波动带来的危机,有着重要的意义.     

Does Joint Bidding Reduce Competition? Evidence from Hong Kong Land Auctions

This paper analyses firms’ bidding behavior in auctions for development land in Hong Kong. The real estate market in Hong Kong is considered to be oligopolistic as it is dominated by a few top real estate firms, which have strong financial strength/development capacity and large land banks. Joint bidding is used by other real estate firms (“large” firms) to pool resources/capital in order to compete with the top firms. We test whether joint bidding increases or decreases the level of competition in land auctions, using land auction data in Hong Kong from 1991 to 2011. We find that large real estate firms are more likely to be successful than top firms at auctions when bidding jointly. However, joint bidding/winning does not harm competition as reflected by the number of bids, bids per bidder and number of bidders. Land prices also increase significantly in auctions won by joint bidders or alliances of large developers. Our results suggest that joint bidding enhances competition by allowing large firms to act strategically by pooling their resources and act aggressively to compete with the top firms.

     

非线性视角下的中国房地产财富效应的测度研究——基于1996～2008年省际面板数据的分析

基于Hansen面板门槛模型，利用中国1996～2008年间30个省（市、区）的相关数据，进行了房地产财富效应的非线性检验。研究发现，从房价增长率和收入增长率来看，房价上涨对消费的影响存在着显著的单门槛效应，呈现非线性的区制变化，尽管总体上房价上涨不利于促进消费，但是在不同类型的区制，对消费的抑制程度存在着明显的差异。建议针对中国不同类型的区域，平抑房价的方式应有所区别，以减少可能出现的市场风险。     

我国房地产泡沫与银行信贷规模的相关性研究

本文首先从理论上深刻剖析了房地产泡沫与银行信贷规模相互之间的作用与传导机制,在此基础上选取2006年-2018年相关指标的年度数据,对房地产泡沫与银行信贷规模进行了图形拟合与周期性波动规律分析,分析发现二者存在极高的契合度。建立房地产泡沫的函数,构建协整方程实证发现银行信贷规模对房地产泡沫的长期弹性系数为0.51,从长期来看银行信贷规模每增加1%,房地产泡沫也相应增加0.51%,进一步建立VAR模型实证发现房地产泡沫与银行信贷规模互为格兰杰因果关系,二者相互影响、相互促进。通过方差分解实证发现银行信贷规模对房地产泡沫的变动具有重要的影响,另一方面,房地产泡沫是影响银行信贷规模变动最主要的因素。