房地产泡沫评价方法与预警分析

介绍了收益还原法、市场修正法和综合指标评价法三种房地产泡沫评价方法。前两种方法存在一定的不足之处,而综合指标评价法能够更全面考虑各个因素对房地产泡沫的影响,且能更准确的预测出房地产泡沫的程度。并在此基础上提出了房地产泡沫预警方法,希望能够对房地产泡沫加以更好地预测和防范。     

网络新闻、需求者关注与房价——基于时变参数向量自回归模型的研究

文章采用基于Linear-SVM的机器学习方法对百度新闻栏目57988篇的房地产市场新闻进行文本分析，构建出网络媒体净看多情绪变量和网络媒体关注度变量。并采用时变参数向量自回归模型（TVP-VAR）对媒体变量、住宅销售面积和房价之间的互动关系展开分析，得出如下结论：网媒房地产新闻的多空情绪变化基本能反映调控政策的阶段性特征。媒体报道对房地产市场冲击的响应相对稳定，时变效果不明显。媒体关注度对房地产市场的传导作用受到其构成成分和所处市场阶段的影响，其对房价的反向作用在紧缩调控放开后逐渐减小，并逐渐转为正向的提升作用，对住宅销售面积的反向作用在2015年后的市场高涨时期逐渐缩小，持续时间也在缩短。媒体情绪对房地产市场的传导作用受到调控政策和市场运行状况的叠加影响，其对房价的提升作用在2015年至2017年的房地产市场上行周期中有所扩大，对销售面积的提升作用则较为平稳。据此，文章提出应根据市场所处的阶段关注网媒发布信息的频度和情绪，加强舆情监测等建议。     

试论房地产市场的过热与泡沫

近期房价过高已引起各个方面的关心和重视,由此引发了关于我国房地产市场是否存在过热和泡沫的问题的讨论,本文就此问题展开初步的讨论。文章从房地产市场的过热与泡沫问题的概念出发,在对我国房地产市场的“国房景气指数”、开发投资指标、商品房空置率指标和房价收入指标的基础上分析,我们可以得到我国房地产不存在房地产泡沫,但要警惕泡沫出现的结论。     

我国房地产泡沫与金融支持的相关性研究

在我国资本市场改革发展进程中,房地产泡沫日益显现,通过构建衡量我国房地产金融支持过度的评价指标,建立向量误差修正模型,对房地产泡沫与金融支持进行了实证分析,并围绕如何防范房地产泡沫提出了风险预警指标和加强内部监控等建议。     

Undervaluation of Real Estate Properties in Disadvantaged Areas in the City of Johannesburg

Since the end of apartheid, the growth of the real estate market in the historically disadvantaged residential areas of South African cities has been quite remarkable. Transactions in this property market, which can take on several forms of exchange of ownership or occupation, in many respects defy de Soto's definition of dead capital. Yet, despite this booming market, large parts of these residential areas are still regarded by local government as having no capital value. Although the titling of properties cannot be regarded as the only or even the main immediate solution to alleviating poverty within these communities, it certainly presents a real and immediate potential opportunity to many of them. This paper attempts to determine the potential size of this market. It starts with perspectives on land values, the property market and the titling of informal properties and examines different methods used in the evaluation of properties both in the formal and informal residential sectors. Drawing on empirical literature and research findings, the paper makes an attempt at establishing the form and value of what is regarded as the degree of undervaluation of real estate capital by the local authority.     

香港公屋政策的反思和启示

香港早期公屋建设为社会发展提供安全网,支持香港经济转型并促进经济发展。1987年开始实施的长远房屋策略促进了房地产业发展,使房地产成为影响公屋政策重要因素。此后房委会改组为财政自主机构、停建居屋和及消减公屋建设量等改革措施对公屋政策发展的产生影响。保障居民的居住权是住房政策的核心,住房保障政策应该作为一项重要的社会政策而非经济政策的补充。内地应该借鉴香港等地的实践经验,在经济上避免对房地产业的过分依赖,并由政府主导建立住房保障制度保障居民的居住权利,同时通过政府的主导和扶持保证住房保障政策的公平性。     

日本房地产泡沫破灭对中国房地产调控的启示

上世纪90年代初日本房地产泡沫破裂,给日本房地产市场乃至整个经济带来巨大负面影响。反思日本房地产泡沫破裂的主要原因在于:日元升值等原因造成的流动性过剩使大量资本涌入房地产市场;政府宽松的货币政策和财政政策以及商业银行对房地产业宽松的银行信贷进一步加剧了房地产泡沫化;政府过于剧烈的宏观调控政策打破了房地产泡沫,造成房地产业乃至整个国民经济的长期低迷。分析当前我国房地产业的现状,与日本的情况惊人相似。因此,借鉴日本房地产泡沫破灭的经验教训,可以对我国房地产市场的健康发展以及我国房地产调控政策提供有益的启示。     

货币政策如何应对房地产泡沫——中日比较分析

本文通过分析日本货币政策应对房地产泡沫的教训、比较中日两国针对房地产泡沫决策的宏观经济指标以及货币政策不作为的宏观经济影响,得出以下结论:中日两国房地产泡沫的形成具有相似背景,当前中国的宏观经济指标也呈现出与日本资产泡沫形成期类似的特征。考虑到两国银行体系在房地产融资中的相似地位以及同样较高的房地产家庭财富占比,中国在货币政策的应对方面应该紧缩货币以挤压泡沫。     

Bank lending and real estate in Asia: market optimism and asset bubbles

This paper investigates the Asian real estate price run-up and collapse in the 1990s. We identify financial intermediaries’ underpricing of the put option imbedded in non-recourse mortgage loans as a potential cause for the observed price behavior. This underpricing is due to behavioral causes (lender optimism and disaster myopia) and/or rational response of lenders to market incentives (agency conflicts, deposit insurance, or limited liability of bank shareholders). The empirical evidence suggests that underpricing occurred in Thailand, Malaysia, and Indonesia. Consequently, these countries experienced a more severe market crash than Hong Kong and Singapore, where underpricing was kept under control by strong government intervention and/or more appropriate incentive mechanisms.     

Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy

In a similar way to the stock market, the housing market in China has often been portrayed as highly speculative, giving rise to “bubble” concerns. Over the last decade, residential prices increased every year on average by double digits in Beijing or Shanghai. However many observers and researchers argue that fundamentals of the housing sector, both sector-specific and macroeconomic, may have been the driving force behind housing price volatility. While existing empirical work exclusively relies on the government housing prices which may suffer from the well-documented downward bias, this paper uses original high frequency unit price as well as transaction series for the residential resale housing markets of Beijing and Shanghai between January 2005 and December 2010 to test alternative hypotheses about housing prices volatility.We propose a sequential strategy in five steps integrating several techniques previously developed in a piecemeal and scattered way. First, we construct daily hedonic prices. Second, in order to search for the possible presence of bubbles on such high-frequency data, we propose using recently developed tests of an explosive root as an alternative to the unit root hypothesis. The third step is generated by the necessity of handling microstructure noise present at a daily frequency, thus filtering the raw data to extract a random walk component. The fourth step extracts a slowly changing monthly volatility component from the filtered daily hedonic real estate data. Finally, in so far as the presence of bubbles does not seem to characterize the residential housing market in major Chinese cities, such as Beijing and Shanghai, in a fifth step we show that fundamentals are able to explain slowly changing volatility, as well as transaction volumes in these first‐tier cities.     

Determinants of Housing Prices and Bubble Detection: Evidence from Seven Advanced Economies

This paper provides empirical evidence on the relationship between residential property prices and the business cycle for seven advanced Organisation for Economic Co-operation and Development economies over the period 2002–2015 using quarterly data. To this end, panel data and time series methodologies are adopted as a means of providing a contextual framework on the extant relationship. The panel methodological framework explores the interaction between economic fundamentals and financial variables while the use of time series methodologies developed by Phillips et al. (2011 and 2015) provide novel evidence on the detection of property price bubbles that have been manifested in each individual country of the sample. In particular, the short-run dynamic panel framework provides a robust exploratory platform thus, shedding light on the determinants of property prices (i.e. real gross domestic product, bank credit growth, long-term bond yields and real effective exchange rate) whilst the bubble detection methodologies provide evidence of the impact of credit-driven economies on the propagation of housing booms which can serve as warning signals of the potential formation of housing bubbles.     

基于多目标决策—理想区间模型对重庆市房产税改革效果的综合评价

房产税改革的效果主要体现在房地产市场的投资、个人、财政等方面的改善。而房地产市场的评价是一项多目标性的工作，为了科学、客观的评价重庆市房产税的改革效果，引入多目标决策-理想区间模型（MODMIIM）。运用德尔菲法建立了房地产市场评价指标体系，利用多目标决策-理想区间模型对房产税改革前、后的房地产市场状况进行评价，通过对比房地产市场评价结果，得出重庆市房产税改革效果的综合评价结果。     

香港离岸金融中心的国际地位与竞争力分析

本文基于离岸金融角度,研究香港银行业、股票市场和资产管理业务的国际化经营特点。并以1995-2011年季度数据量化变量之间的长期均衡关系,探讨香港银行业的离岸资产与负债增长特点、股票市场的国际化运作方式,以及资产管理业迅速发展的原因,并用格兰杰因果检验方法量化离岸金融与在岸经济和在岸金融的长期均衡关系。     

我国房产税试点的绩效评价与政策优化研究

上海、重庆两市试点开征房产税以来,长期内房产税能否起稳定房价作用已成为颇具争议的话题。本文将迪帕斯奎尔-惠顿四象限模型嵌入到动态蛛网模型,评估了房产税试点对房地产市场的影响。仿真结果表明,房产税试点虽然一定程度上起到了稳定房价作用,但不能从根本上扭转房价的正向发散趋势,原因是过低的税率加之住宅需求曲线的正斜率导致房价收敛的周期延长。本文研究的政策含义是,开放条件下城市化进程给房地产调控增加了诸多的不确定因素,政府应当因地制宜地运用高强度的税收政策调控房地产市场。     

External Dependent Economy and Structural Real Estate Bubbles in China

This study explores the relationship between external dependent economic structure, surplus monetary liquidity and real estate bubbles in China. Employing monthly data from 28 Chinese provinces over the period 2004-2005, we test whether real estate bubbles are caused by structural surplus monetary liquidity, ccontrolling other possible factors. Our empirical findings show that the growth of private savings in the banking sector, as an index of surplus monetary liquidity, ferments real estate bubbles regardless of the different development level across the 28 provinces.     

国际资本流动与房地产、上证市场联动性研究

去年底以来,我国出现了国外短期资本出逃的现象,这直接导致了人民币兑美元汇率的连续"跌停"。一方面,作为国外资本的主要投资场所,房地产市场和上证市场的发展状况直接影响了国外短期资本的投资热情;另一方面,国外短期资本的流动也影响着房地产市场和上证市场的发展。鉴于此,本文从外汇储备、房地产市场以及上证市场三个角度,结合相关的实证分析方法,来深刻揭示这三者之间的相互影响关系。分析过程用到的方法包括ADF检验、协整检验、格兰杰因果检验、脉冲响应函数分析、方差分析等。最后得出三者间存在较为明显的联动效应的结论。     

基于指标法评价深圳房地产市场泡沫状况

本文从房地产价格、需求以及供给方面构建了房地产泡沫评价的指标体系,利用指标体系对深圳地区房地产泡沫状况进行实证分析,得出如下结论:深圳地区2003~2006年是一个泡沫积累的过程,2007年则是泡沫加剧积累的时期,2008年价格波动可以判断深圳住宅价格失去了合理性,总体上存在着严重的泡沫成分,当前政府的重点是加强各项制度方面的建设。     

上市地产公司自组REITs的绩效分析

截至2008年1月,我国共有七只REITs在香港成功上市,其中就包括一只由内地物业组建的权益型REIT越秀。但内地至今未引入REITs制度。本文以越秀REIT为例,分析上市地产公司在REITs上市后的绩效,从而探讨REITs制度的引进,会对我国房地产企业和行业产生的短期,中期及长期影响。     

当前我国房地产价格的合理性研究

近年来,我国房地产价格大幅快速上涨,引起了公众和政府的高度关注。本文使用两个不同的指标分析了当前我国房地产市场的价格状况。从房价收入比来看,我国大部分居民的收入难以承受过高的房价,我国的房价存在很大的泡沫;从租金房价比来看,租金较低,房价严重偏高,目前房地产投资存在较高的风险,对房地产业以及整个国民经济和社会的稳定有着严重的影响。研究表明我国绝大多数城市的房屋定价不合理,严重偏高,房地产市场存在较大的泡沫和较高的风险。因此,政府还要继续对房地产业实行调控,加快实施保障性住房和廉租房建设,使房价逐步回归到合理水平,促进房地产业的持续、稳定、健康发展。     

房地产价格波动影响因素的实证研究究——基于广州市的VAR模型

本文以广州市为例对房地产价格波动和其影响因素进行实证分析。本文以相关经济理论为根据建立了向量自回归模型。模型实证结果表明预期冲击是影响广州市房地产价格波动的重要因素,房地声市场存在明显的顺周期性质,货币供应量的变化也会引起房地产价格的变化。本文还发现房地产市场的瑰策主体主要依据年内四个季度的房地产价格和销量等信息来进行决策。房地产价格波动是对房地产市场波动的主要解释因子。