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。     

人民币升值对我国资产价格波动的影响

随着我国经济持续增长和外汇储备的逐年增加,人民币升值步伐有越来越快的趋势。自2005年7月,我国宣布结束维持十年之久的人民币汇率盯住美元政策以来,人民币已累计升值30%。人民币升值导致了我国资产价格的波动,特别是我国股票和房地产价格的起伏波动。如何应对由人民币升值引起的国内流动性过剩导致资产价格波动,成为政府面临的新挑战。     

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。     

房价波动与制造业升级:基于省际面板数据的空间计量分析

利用2007-2016年中国29个省市区的相关数据,分析房地产价格和制造业产业升级在中国各个省市区的分布格局和空间上的相互依赖性。基于邻接权重矩阵构建空间滞后模型和空间误差模型,分析房价波动对中国制造业产业升级的影响。基于上述研究,得到四个方面的结论:一是通过Moran's I指数和Moran's I散点图证明了中国房价水平和制造业产业升级存在显著的空间相关性,制造业具有高水平区域集中、低水平区域聚集的特点;二是中国房地产价格与制造业产业升级呈倒U型库兹涅茨曲线关系,也就是说房价波动对制造业产业升级同时具有正效应和负效应;三是从整体上看,现阶段省域间相对房价升高对制造业低端技术产业产生挤出效应,对制造业高端技术产业发展产生促进作用,相对房价升高带动了制造业产业升级;四是在北京和上海,由于房价与制造业产业升级两者之间的关系已经跨入倒U型曲线的右边,所以要有效控制房价上涨,以免制造业产业升级受到抑制。     

房地产价格波动对居民消费的影响研究——基于30个省市自治区的面板数据

理论上,房价的上涨会通过财富效应增加居民消费,但由于我国房地产市场发展尚不成熟,房价与消费之间的关系具有不确定性。本文根据总体房地产调控政策的取向考察房价波动对消费的影响,实证结果表明房价上涨对消费的拉动作用有限,甚至产生抑制效应。结合房价波动影响消费的传导机制,本文提出要增加中低档商品房和保障性住房的供给、发展住房增值贷款以及保持房地产调控政策的连贯性等政策建议。     

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。     

房地产上市公司股价影响因素实证分析

近年来,在持续的房地产调控政策影响下,我国商品房市场开始出现成交量大幅下滑,房价逐步松动下滑的现象。但在此期间,房地产上市公司股票价格不仅强于大盘走势,而且其波动幅度也高于房地产销售价格指数。为此,本文选择房地产上市公司股票价格指数为因变量,选择上证综指、发电量增长率、CPI、人民币贷款利率、房地产价格指数五个因素指标为自变量进行多元回归统计建模,模型检验结果表明,房地产上市公司股价波动除具有一般金融资产价格波动的系统性、集聚性等特点外,还具有与人民币贷款利率和房屋销售价格指数负相关的特点。受宏观调控政策的持续影响,中国当前房地产市场出现一定程度的扭曲,实体经济增长对房地产上市公司股价的影响不显著。     

财政分权对我国城市房价的影响——以杭州市为例

2016年,中国的房地产市场依旧火热,房价增长迅速,热点频出,当然,房价的疯狂上涨也带来了很多难以解决的问题。研究财政分权,土地财政和房地产价格三者之间的关联,并通过对杭州市的相关数据进行实证分析,运用格兰杰检验分析杭州市的财政分权,土地财政和房地产价格,得出如下结论：财政分权使地方政府寻求更多的收入来源,加剧了地方政府对房地产业的扶持,并且导致了土地财政,从而正面影响了房地产价格。     

Influence of real estate prices on domestic bank loans in Southeast Asia

This study examines whether and how fluctuations in real estate prices affected bank lending in Malaysia, Singapore, and Thailand before and after the 1997–98 Asian financial crisis. Since the crisis, it has been claimed that the rise and fall in the price of real estate, which is used as collateral, affected bank lending and the macroeconomy in these Southeast Asian countries. The study implements a dynamic model of bank lending and employs a test using the panel data of domestic bank balance sheets in order to estimate the influence of real estate prices on new bank lending in the three countries. The study also examines the conditions surrounding the role of real estate as collateral for bank loans in the countries. The regression results suggest that fluctuations in real estate prices can influence domestic bank lending and did so, especially after the crisis in Singapore and Thailand, and that domestic bank lending behaviour in these countries changed after the crisis.     

资产价格在货币政策传导中的作用

文章对资产价格在货币政策传导中的作用进行实证研究，结果表明，我国同时存在着从中央银行到资产价格的高效传导和从资产价格到实体经济的低效传导，资产价格的波动损害了货币政策的传导效率以及金融体系的稳定性。在这种情况下，我国中央银行不应把资产价格纳入货币政策的最终目标，而应适时和适度地对资产价格作出反应。     

房地产调控要坚持制度创新

房产已是一种特殊商品,房价暴涨,实质是社会经济发展与市场经济制度之间存在着不相适应的矛盾。现有的诸多主张和办法并没有从制度上找到房价暴涨的原因,所采取的措施还不能有效地抑制房价。市场经济发展出现的问题只有通过制度改革和创新来解决。本文主张设立政府投资和控制下的商品房期货交易有限公司,立即向市场抛售5年期期房券,以满足市场对投资产品的需求,并抑制和调控房产的价格。     

我国货币政策资产价格传导机制的实证研究

本文将货币政策的资产价格传导机制划分成货币政策传导到资产价格和资产价格传导到实体经济两个环节,主要关注货币政策、实体经济以及最终目标三个层面的变量,细分股票价格传导和房地产价格传导两条路径,分别建立了具有系数约束的向量误差修正（VEC）模型,检验我国货币政策通过资产价格渠道传导的有效性。在此分析结果的基础上,指出当前我国货币政策不应以资产价格为目标,中介目标应由货币供应量向利率转变,并且对疏通股票市场和房地产市场传导渠道提出了相应的政策建议。     

Asset market hangovers and economic growth: the OECD during 1984-93

Asses prices and investment were unusually weak throughout theindustrial world during the early 1990s. This paper highlightsthis stylized fact, and connects it with another: in most ofthe industrial world, asset markets boomed for several yearsbefore collapsing around 1989. The paper suggests that assetmarket bubbles during the late 1980s may have left the industrialworld with an 'asset market hangover' in the early 1990s, inthe form of sluggish asset markets and investment. Empiricalsupport for this hypothesis is provided based on cross-countrydata for equity and real estate markets in most industrial countries.We suggest that financial market developments not justifiedby fundamentals can substantially affect real activity.     

Sources of export fluctuations: empirical evidence from Taiwan and South Korea, 1981–2000

This paper examines the sources of export fluctuations in Taiwan and South Korea using two structural VAR models and cointegration. The empirical evidence shows that changes in real variables have a significant and persistent influence on the variation of export growth while the monetary disturbances have only a short-lived effect. Furthermore, the U.S. disturbances are found to be important for explaining export fluctuations for Taiwan, while they have an insignificant and short-run effect on South Korea’s exports. Comparing the influences of different real factors, the innovation accounting shows that changes in the world oil price have the most important and robust effects on exports in both counties.     

Asset Prices, Monetary Policy and Macroeconomic Stability

This article discusses the role of asset prices in the conduct of monetary policy when the ultimate goal is to maintain price stability and limit fluctuations in real income. It is argued that judicious interpretation of asset price movements can provide information about the risks of future macroeconomic imbalances, and that this information should be utilized in monetary policy decisions. Simulations results from both theoretical and empirical models support the conceptual argument. It is stressed that policy reactions to asset prices must not follow a mechanical rule, since the appropriate response depends on the underlying shock.     

房贷风险评估及银行的应对策略

房地产是当今中国经济的支柱产业,而房地产发展的资金绝大部分由银行贷款获得,因此房价的变动会使银行的贷款业务面临风险。本文首先分析了现阶段房贷与房价之间的关系,接着讨论了人口因素对房价的影响,分析了房价的走势;最后计算了在不同的贷款方式下,商业银行应对房价下调时的贷款风险临界值,给出了商业银行防范房价变动的应对策略。     

Excess Liquidity,Housing Price Booms and Policy Challenges in China

Incorporating asymmetric cost and benefit of supplying excess liquidity into an otherwise standard time inconsistency model, this paper offers an explanation of the excess liquidity and housing price booms recently experienced in China. We find that the central bank's incentive to stimulate economic growth with excess liquidity fuels real estate prices and accelerates inflation bias. Therefore, the central bank should free itself from the pressure to achieve an economic growth rate higher than the potential level, and assign an appropriate weight to the real estate price fluctuations in the central bank's objective function, so that the central bank's policy of stimulating economic growth with excess liquidity can be constrained.     

The Impact of Capital Inflows on Asset Prices in Emerging Asian Economies: Is Too Much Money Chasing Too Little Good?

In recent years, emerging Asian economies have experienced (i) large capital inflows, especially a surge in portfolio inflows, and (ii) an appreciation of asset prices such as stocks, land, and nominal and real exchange rates. We empirically investigate the effects of capital inflows on asset prices by employing a panel VAR model. The empirical results suggest that capital inflows indeed have contributed to asset price appreciation in the region, although capital inflow shocks explain a relatively small part of asset price fluctuations.     

福州市住宅价格空间结构分析

利用探索性空间数据分析、克里格插值和多元回归分析相结合的方法,以一种新的角度深入研究福州市住宅价格在空间上的整体分布格局,以期丰富城市房价空间理论并为福州市房地产业和谐有序发展提供参考。研究发现:①福州住宅价格呈多中心结构,并向四周逐渐递减,在空间分布上有一定的连续性;②空间自相关性显著,总体上呈空间集聚格局,空间变异性明显;③住宅价格与中心城区的距离呈现显著的线性相关。     

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。