住宅抵押贷款证券化浅析

住宅抵押贷款证券化,是金融体系完善的国家联接住宅金融市场与资本市场的通行做法,从效率的角度出发,这种体系的设计,除可以降低银行开展住宅抵押贷款的成本,扩大银行融资的渠道外,最主要的是,资产证券化是一个世界性的潮流,而资产证券化一般都是由住宅抵押贷款证券化开始的。本文对住宅抵押贷款证券化的基本内涵及推行该体系的配套条件做了初步的探索,探析的目的是为设计及推行住宅抵押贷款证券化设计配套条件提供一些思路。     

基于VAR模型对商品房价格影响因素的实证分析——以上海市房价为例

选取上海市房价作为研究对象,通过建立VAR模型来分析上海市地价、居民消费价格指数、房屋竣工面积、贷款利率、货币供应量及热钱流入对上海市商品房价格的影响。协整分析表明,各个变量之间具有长期的均衡关系。Granger因果检验表明,上海市商品房价格与地价之间存在双向的Granger因;货币供应量、贷款利率、房屋竣工面积、热钱与上海市商品房价格是单向Granger因;而上海市居民消费价格指数与商品房价格互不为Granger因。     

基于投机价格模型的住宅市场泡沫度研究

本文从泡沫的形成机制入手,利用SPSS12.0分析软件,针对哈尔滨市房地产业中的住宅业,根据房地产投机价格数学模型并结合相关数据进行回归分析,利用2005年9月到2006年11月的月度数据对哈尔滨市住宅市场进行了实证检验,来确定哈尔滨市住宅市场泡沫度,为判定哈市住宅市场的运行状况提供依据,并为政府制定房地产政策提供参考.     

经济类农产品期货价格与现货价格的关联性实证研究——以玉米为例

经济类农产品由于用途广泛且互有重叠,需求的价格弹性比粮食作物更富弹性,影响其价格的因素也更复杂。本文选取玉米作为经济类农产品的代表,通过检验、协整检验、Granger因果关系检验对加入世贸以来其现货与期货价格之间的关系进行了实证分析,得出玉米现货价格和期货价格之间存在着协整关系,玉米期货价格对现货价格具有比较显著的引导作用,现货价格对期货价格的引导作用不显著的结论。     

基于协整理论的美国电力期货市场实证研究

本文基于VAR的协整理论,对美国PJM电力期货市场作了模型实证研究。因果关系检验显示下月合约价格是现货价格单向的Granger原因。协整检验结果显示电力期货价格和现货价格存在长期稳定均衡的关系,期货市场具有价格发现的功能,与现货市场相比价格发现功能较弱。方差分解结果显示,期货价格受自身的影响很大,受现货价格的影响很小;而现货价格受自身影响很大,随着滞后期的增加,受自身的影响逐渐减弱,受期货市场的影响逐步增大,期货市场在价格决定中起主导作用;脉冲响应函数同样显示现货对期货的影响较小,期货对现货的影响相对较大。     

日本住宅金融公库的改革及其启示北大核心CSSCISSCI

最初的日本住宅金融公库通过财政投融资体制获得资金,向购房者发放长期、固定的低利率贷款。随着日本政策性金融改革,住宅金融公库废除,住宅金融支援机构成立,通过抵押支持债券或者抵押袋款证券化(MBS)市场融通资金,提供证券化服务。住宅金融公库的改革反映了日本住宅问题的变化和住宅金融的发展,对现阶段中国住房保障政策性金融体系创新有一定的示范和借鉴作用。     

我国煤炭价格与原油价格关系的协整研究

运用单位根检验和协整检验方法,研究我国2007—2011年6月煤炭价格和原油价格的时间序列特征以及两个市场价格之间长期关系。研究发现,我国煤炭价格和原油价格均为非平稳时间序列,但两者之间不具有协整关系。     

人民币汇率变动对中俄贸易影响的实证分析

文章运用ADF单位根检验、Johansen协整检验和Granger因果关系检验等计量经济方法对中俄出口贸易与汇率变动之间的关系进行了实证分析,得出了出口贸易与汇率的变动存在长期协整关系,但汇率变动对出口贸易影响不显著的结论.     

住宅按揭贷款的证卷化──由美国住宅按揭担保证券看我国住宅金融业二级市场的发展

一、美国的住宅按揭担保证券住宅按揭贷款证券化,是美、英等市场成熟国家按揭贷款二级市场的主要形式,其最早出现于７０年代的美国,先后在美国和加拿大得到迅速发展。香港也于１９９７年正式注册成立香港按揭证券公司。住宅按揭担保证券,是指以单个或多个房屋抵押贷款作为担保品而发行的证券,它以银行所持抵押资产为基础向投资者发行抵押支持证券,将风险与其相对应的收益转让给投资者。通常把这一过程称为按揭贷款证券化。由于这些证券具有标准化的特点,没有违约风险,又具有较高的流动性,因而对投资者具有较大的吸引力。截止１９９…     

日元汇率升值与实质进口额的经验研究:1971～2003

本文研究的是1971～2003年日本实质进口额的价格弹性和收入弹性。通过对实质进口额、进口价格与GDP的协整检验、误差修正和方差分解,得到以下主要结论:样本期内三者存在长期均衡关系,日本实质进口额的长期价格弹性为-0.55,实质进口额的长期收入弹性为0.628;日本实质进口额的短期波动主要受GDP增长的影响,但随着时间的推移,进口价格对进口的贡献度不断增加。     

On the macroeconomic determinants of the housing market in Greece: a VECM approach

This study examines the role of the housing market in the Greek economy. We review the literature and assess the interdependence between the housing price index and its macroeconomic determinants within a VECM framework. An equilibrium relationship exists and in the long run the retail sector and mortgage loans emerge as the most important variables for housing. The dynamic analysis shows that the mortgage loans followed by retail trade are the variables with the most explanatory power for the variation of the houses price index.     

国外城市住房价格动态性研究综述

国外对住房价格动态性的研究分为四个方面:住房市场有效性的实证检验、宏观经济基本面指标的动态影响实证检验、住房价格泡沫的实证检验和住房价格指数的定价模型研究。本文对上述问题进行了文献综述,并进行相应的评价。     

Housing Markets in China and Policy Implications： Comovement or Ripple Effect

The overheated housing market has recently become a top priority of the Chinese authorities and whether the ripple effect exists is key to understanding this housing issue. The present paper uses a cointegration estimation technique for six first-tier Chinese cities during the 2003-2013 period to show that the comovements among housing prices in China are fully reflected in a long-run equilibrium. Using the Toda- Yamamoto causality test, the ripple effect is found to be characterized by a lead -lag relationship. More importantly, it is found that Beo＇ing is the main source of housing price appreciation in China, and should be targeted as the regulatory object to efficiently resolve the troubles in this increasingly high housing-price era.     

动态随机一般均衡模型视角下的预期冲击与住房价格波动

本文通过建立加入金融摩擦的消息推动下的经济周期模型得出房产税试点的消息冲击,预期紧缩的个人抵押贷款政策和预期紧缩的企业信贷政策均对房价具有重要作用,并且消息冲击影响下的住房价格与传统周期模型下实际政策冲击的影响下的住房价格之间具有明显的区别。同时,本文还通过对上述三种冲击进行相互组合所产生的四组混合预期对住房价格的影响发现：当经济人对未来同时产生多种预期时,由多种预期所产生的对内生变量的影响具有相互增强的性质。最后,本文发现在导致房价上涨的预期冲击中,预期紧缩的企业信贷政策是最微弱的,其次是预期紧缩的个人抵押贷款政策,房产税试点消息预期则是导致房价上涨方面最不利的预期因素。     

Housing Prices, Mortgage Payments and Savings Behavior in Taiwan: A Time Series Analysis

After reaching its peak at the year of 1987, the saving rate of Taiwan dropped quickly in the late 1980s. At the same time, the real average housing prices in Taiwan had increased almost three times from 1987 to 1990. Why did the savings rate in Taiwan drop so quickly after 1987? Does it relate to the dramatic increase in housing prices? Although it has been confirmed that there is a negative wealth effect of housing price appreciation on savings, the estimated wealth effect on savings could be biased if the effect of mortgage payment (also known as forced savings) on saving is neglected. Applying quarterly data from 1981 to 2000 in Taiwan, we employ a time series analysis to compare two saving models, the traditional one and the one with forced saving. As we expected, the negative wealth effect of housing price appreciation on saving is smaller in the forced saving model than in the traditional saving model. By the estimated error correction models (ECMs), ignoring the impact of housing price appreciation on forced saving, the speed of short‐run adjustment in total saving would be significantly slower. For forecasting purposes, the forecast errors in ECM of the forced saving model are smaller than that in the total savings model.     

Size and Characteristic of Housing Bubbles in China＇s Major Cities： 1999-2010

There is some disagreement in the published literature regarding the definition and the measurement of housing bubbles in China. Extending the analytical framework of Black et al. (2006), the present paper measures the housing bubbles of China's 35 major cities from the second quarter of 1999 to the second quarter of 2010. The results indicate that the housing bubbles in China's 35 major cities were relatively small in the sample interval, but the bubbles in eastern metropolises, such as Beijing, Shanghai, Shenzhen, Hangzhou and Ningbo, have been relatively big since 2005. The changing tendency of housing bubbles in most cities highly corresponds with the changes in real estate policies. This paper decomposes the housing bubbles of the 35 cities, and finds a great proportion of irrational bubbles rather than rational intrinsic bubbles generated by price speculation. Based on empirical analysis, this paper proposes policy recommendations for preventing the generation and expansion of housing bubbles.     

美国次贷危机的传导机制

美国次贷危机根源于房地产市场繁荣背景下激进的住房抵押贷款行为,本质是由房价下跌和利率提升导致的信用危机引发的信贷紧缩和金融市场流动性缺失。文章以美国次贷危机的传导基础为切入点,利用金融危机传导模型来分析美国次贷危机的传导机制。在其传导过程中,美国次贷危机形成了从信贷市场到资本市场、从资本市场到信贷市场、从金融市场到实体经济和从国内市场到国际市场的传导路径。在金融全球化的背景下,美国次贷危机通过金融市场和实体经济传导到全球市场,并对全球经济发展造成不确定性影响。     

基于PVAR模型的保障房建设对商品房价格影响研究

通过建立商品房价格、经适房销售面积、地区人均GDP值、城镇居民可支配收入的PVAR模型,进行面板向量自回归的实证分析。结果表明,保障性住房建设对商品房价格影响是动态的,在区域保障性住房建成的短暂时间内,先对商品房价格具有抑制作用,但随后对商品房价格起到正面效应。     

人口结构对住宅价格的影响——基于北京地区的实证研究

文章以北京市为例,使用1990—2011年北京地区人口结构和商品住宅价格数据,分析该地区人口结构变量对于房价的动态影响。文章发现,北京地区房价受到劳动人口比重、人口城镇化率、第三产业从业人口比重等三个人口结构变量的显著影响。其中,劳动人口比重对于房价的正向影响持续最短;第三产业从业人口比重对于房价的正向影响持续最长,影响力度也是最大;同时,人口结构变量整体对于房价的影响具有长期性。     

Asymmetric Fluctuating Behavior of China's Housing Prices

The present study explains the reasons for the imbalanced development of the Chinese housing market. Using the quantile autoregression unit‐root test, we examine housing prices in China's five major cities. The results show that the rising and falling of housing prices in these cities exhibits asymmetric reversion. When housing prices fall, market capital is highly sensitive to housing prices, and housing prices resist the pressure to fall further. However, when housing prices rise, the housing market becomes imbalanced, with housing prices tending to overreact in an upturn. The results of this study indicate that when housing prices rise irrationally, the government should intervene in the housing market promptly to prevent housing bubbles.