房地产金融对房地产市场发展的影响研究：北海实证

本文通过向量自回y-5模型（VAR）研究房地产金融对房地产市场的实际影响。选取北海市金融类和房地产市场类等4项指标，建立2个VAR模型系统；利用脉冲相应函数和方差分解方法，分析信贷市场指标变化对房地产市场供需影响的时滞、持续时间及作用强度。结果表明：北海房地产金融市场与房地产市场无论在长期还是短期都存在均衡关系，两者具有一定程度的共生性。基于以上分析，提出相应的政策建议。     

Lending behavior and real estate prices

The willingness of banks to provide funding for real estate purchases depends on the creditworthiness of borrowers. Besides other factors, this creditworthiness depends on the development of real estate prices. Real estate prices, in turn, depend on the demand for homes which is influenced by the supply of mortgages. I develop a theoretical model which explains this circular relationship. I show how different kinds of expectation formations can lead to fluctuations in real estate prices. Furthermore, I show that banks make above-average profits in the upswing phase of the real estate cycle but suffer high losses when the market turns.     

货币需求的投机性动机还是预防性储蓄：来自房地产行业的证据

从公司货币需求的视角考察货币政策对房地产市场的影响,为货币政策的有效性提供了微观的研究视角。基于凯恩斯的流动性偏好理论和现金持有的权衡理论分析发现,公司的货币需求与货币供给的关系,随不同的动机而不同。实证的结果发现,房地产公司货币需求更多的体现了投机性动机。因此,针对货币政策对房地产公司影响的复杂性,必须与其它调控措施更加紧密的协调以形成合力,才能对房地产市场实施有效管理。     

房地产信贷、房价与经济增长——基于东中西部的实证研究

我们选取我国2003-2010年东、中、西部地区的面板数据,对房地产需求和供给收入弹性、房地产市场需求和供给及影响房价的因素、房地产对经济增长的作用进行实证研究发现,西部地区房地产市场的需求和供给收入弹性小于东、中部;房地产价格在需求和供给市场违背一般价格规律;银行信贷对东部地区房价的影响较为明显;中、西部当期需求的增加会促进下一期经济发展。     

“稳增长”与“去杠杆”目标下的双支柱政策协调——基于供求冲击和金融摩擦视角

构建带有金融摩擦的DSGE模型,研究在供给面和需求面冲击下,各种不同类型的双支柱政策组合对稳增长与去杠杆的调控效果及传导机制。结果表明：当遇到技术冲击时,单独使用货币政策改变信贷供给状况可以较好地维护宏观经济的稳定,这也是金融危机之前未重视宏观审慎政策而只是强调货币政策控制经济周期波动的原因所在。面对正向房地产需求冲击,不适用于单纯采取大幅加息等总量措施,而应配合采取收紧LTV等宏观审慎政策,更有针对性地对房地产市场适度降温,避免对整体经济造成冲击,利率政策与LTV政策使经济增长和杠杆率的波动相对较小,政策组合更有效。     

房地产金融调控政策效应评价:佛山实证

近年来,国家通过采取金融、财税、产业等政策措施组合对房地产市场进行调控,对于维护房地产市场平稳运行,促进经济健康发展起到了积极作用。但是,当前我国房地产供求矛盾突出、房价上涨过快等深层次问题并未得到有效解决。本文以佛山为案例的研究表明:宏观经济因素、前期的房价上涨情况、个人住房消费贷款、人民币汇率升值是导致房屋需求增加的最主要因素。为此,要提高房地产金融调控的有效性,应进一步完善房地产金融调控机制,实行需求调节与供给调节相结合的金融调控新方式;加强跨境资金流动管理,合理引导外资流向和流量。     

房地产信贷、价格及市场供求关系研究

本文通过对2000年以来上海房地产信贷与房地产市场关系的实证分析,发现房地产信贷对房地产市场的影响主要表现在需求方而不是供应方,房地产信贷增长对房地产价格和房地产销售量增长有明显的促进作用,但对房地产开发投资没有明显的影响。房地产信贷增长主要由银行流动性状况决定,而不取决于房地产市场状况,但房地产市场供需状况会影响到房地产信贷结构变化,在价格上升时个人购房贷款增长明显,在价格下降时开发贷款增长明显。在短期内,银行信贷可作为平稳房地产市场波动的手段之一,但对于长期而言,只有构建完善的住房供应体系才能保持房地产市场的长期稳定。     

Liquidity and Information Asymmetry in the Real Estate Market

George Akerlof??s asymmetric information theory explains why lemons are rarely, if at all, transacted. We extend his theory to explain liquidity in the second-hand real estate market. The idea is to decompose real estate into two components: land and the building structure. While sellers may know more about the quality of their structures than buyers, information on land, predominantly its locational attributes, is much more transparent. Without assuming any credit constraints or loss aversion behaviour, our information asymmetry model shows that: 1) the liquidity of real estate increases with the share of its land value; 2) there is a positive relationship between real estate prices and turnover rates when land supply is more inelastic than the supply of structures; 3) the positive relationship is stronger when the land value component gets smaller; and 4) while the availability of first-hand real estate may divert demand away from the second-hand market, such a substitution effect is weaker when the land value component is large. These four implications were confirmed with panel data analysis using Hong Kong??s housing transactions from 1992 to 2008 across 50 districts.     

信贷与资产价格关系研究——来自中国房地产市场的证据

货币政策与资产价格之间的关系一直以来都是学术界研究的重点,但从房地产信贷视角分析房地产价格的文献却相对较少。本文基于多元MGARCH—BEKK模型和GRACH均值方程模型分析了房地产信贷、货币供应量与房地产价格的波动相关性以及它们的各种波动对房地产价格的影响。研究发现,房地产信贷增长的波动能影响房地产价格的增长,而货币供应量的波动,对房地产价格增长影响不显著。同时实证分析显示在对房价的调控中,房地产信贷的调控是抑制房价波动的一个工具选项。以银行信贷为主的货币供应量已经不能全面反映社会的流动性状况。与货币供应量相比,社会融资总量指标与实体经济指标的联系更加紧密。     

Rational Delays: The Case of Real Estate

Real estate markets, for both commercial real estate and single family homes, typically respond to a large negative demand shock with a period during which the volume of transactions and liquidity of real estate declines. Explanations for these periods have focused on overly optimistic owners, imperfections in real estate markets and/or minimum down payment requirements. These are important characteristics of real estate markets, but they do not provide a satisfying explanation for the long-term declines in the number of transactions and liquidity of real estate that frequently follow negative demand shocks. This paper presents estimates, for a specific real estate market (Los Angeles single family dwellings), of the option-like value of an owners interest in a property. Our estimates imply that when an owner has little or negative equity, the value of waiting to sell is likely to exceed the net carrying cost. Consequently, the option value of a potential sellers interest may eliminate the possibility of an otherwise mutually advantageous transaction.     

房地产价格、抵押制度与货币政策传导——理论基础与国际经验

基于文献研究的视角考察房价对货币政策的传导机制与效率以及住房市场抵押制度在房地产市场传导货币政策中的作用。结果表明,货币政策通过资本使用者成本渠道、信贷渠道等对房地产市场供求和房地产价格产生影响。其中,经济主体的利率敏感度、抵押贷款可得性、抵押利率结构与期限、住房交易成本等制度性因素起到了重要作用;房价波动对消费的作用方向取决于居住模式结构、各类型经济主体的比例与边际消费倾向等因素,作用效果则受一国抵押市场发达程度、抵押市场制度性因素的影响;房价对于投资的影响效应受房地产部门作为一个整体在国民经济中的重要性、房地产供给弹性以及一国的信用市场状况等重要因素的影响。     

住房耐用品、土地市场分割与货币失踪之谜

2008年国际金融危机后,我国M2供给增幅远高于CPI上涨幅度,这一现象被学界称为“货币失踪之谜”。本文构建了一个两部门新凯恩斯货币模型来研究这一问题。当外部需求下降后,央行降低利率以提振经济,房地产部门和非房地产部门同时扩张。由于住房属于耐用消费品,具有一定的金融属性,其需求对利率变化更敏感。利率下降后,住房需求相对普通消费品需求上升更多。因为存在土地市场分割,商住用地供给弹性较小,住房需求上升导致商住用地价格上升较多,地价上涨提升了房地产企业的抵押融资能力,房地产部门进一步扩张。普通消费品需求对利率反应小,需求较弱导致工业用地价格上升幅度较小,非房地产部门抵押融资能力小幅提升。因此,非房地产部门产出和CPI只温和扩张。Ramsey最优货币政策模拟表明,只有实现了房地产部门与非房地产部门均衡发展,才能实现社会福利最大化。     

The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.     

System Dynamics Modeling of Chinese Urban Housing Markets for Pedagogical and Policy Analysis Purposes

This paper reports on the current state of a project to develop a system dynamics (SD) model for urban housing markets in China, aimed at facilitating policy analysis and supporting practical educational tools that might reach large numbers of potential entrepreneurs in China. Although numerous academic papers have applied SD models to real estate markets over the past generation, the technique remains relatively unknown and little used both in the academic economics literature and, more to the point, among practitioners and educators in the real estate community. Yet SD has the potential to address key needs among these constituencies, and extend and complement upon traditional economic methods. SD models are focused on modeling market transitions toward long-run equilibria, facilitating the study of the details of causality and the dynamic path of the market and features that are prominent in the history of housing markets in emerging markets. Different from intensive data-driven economic models, SD models are structural-based operational models that can more easily accommodate the actual non-market features and unique institutional components of these emerging real estate markets, where long-range historical data are not readily available. SD can provide intuitive and transparent model structures that should be able to improve pedagogy for educating large numbers of potential real estate entrepreneurs particularly in emerging market countries. For demonstration, in the present paper we choose to focus on the China-specific features of ‘speculative demand’ and ‘land financing scheme’, and use the newly developed SD model to explore the effects of land supply, “command-and-control” versus “market-driven” policies for housing in China. It is important to note, however, that while we chose China for the purposes of our study, the same technique can be applied to any emerging real estate market. Moreover, our research here can be seen as a stepping stone: Before a generalized SD model for emerging markets can be developed, it is both reasonable and appropriate to construct a model that is constrained to a manageable subset of the overall market space.     

A Case for Percentage Commission Contracts: The Impact of a “Race” Among Agents

In standard principal-agent problems, the issue at hand is how to align the interests of the agent with those of her principal. A commonly used contract involves the principal paying the agent a percentage of the sale price as commission. With respect to real estate brokerage contracts, it has been argued that percentage commission contracts fail to provide sufficient incentives to the agent. This paper re-evaluates the standard solution to a one seller, one agent agency problem by introducing more than one agent. It is shown that percentage commission contracts can induce first-best effort levels from agents. The result is due to the negative externalities created by the winner-takes-all race among agents. The optimal commission rates in this model are inconsistent, however, with the observed uniformity in commission rates across markets in the USA.     

鄂尔多斯市房地产市场价格策略研究

近年来,中国房地产业发展迅速,带动了其他行业的发展,在解决我国居民住房问题,经济发展方面起到了重大的作用。房地产市场营销越来越重要了,而在市场营销中的价格策略显得尤为重要。房地产的价格主要是由土地成本、开发、管理费用等构成,同时受自然、政治、经济、社会因素和市场供求关系的影响。鄂尔多斯作为内蒙古快速发展的城市之一,其房地产的价格策略中还存在着制定价格时缺少市场调查,定价以企业为中心,定价策略单一,难以适应市场要求等一些不足。我们要运用合理的价格策略和方法,对存在的不足进行完善,使房地产企业在制定价格时能够应对市场的需求选择合理的定价策略和方法,让房地产企业在实现自己利润的同时,也能满足消费者的需求。     

The persistence of real estate cycles

This paper presents a model that attempts to explain the underlying causes of the prolonged cycles observed in real estate markets. In addition, the paper characterizes the features that make some property types more prone to such boom-and-bust behavior. The combination of demand uncertainty, adjustment costs, and construction lags leads to two phenomena that may help explain market persistence. The first phenomenon is the reluctance of owners to adjust occupancy levels, even in the face of large shifts in renter demand. The second phenomenon is the occurrence of periods of sustained overbuilding: the addition of new supply in the face of already high vacancy rates.     

Modelling Foreign Real Estate Investment: The Spanish Case

Foreign real estate investment in Spain has grown considerably during the last decade, representing around 40% of total foreign direct investment inflows. This trend has exerted an important macroeconomic effect maintaining a long lasting housing bubble and contributing significantly to finance the rising current account deficit. Foreign real estate investment in Spain is mostly of a housing acquisition type and therefore the analysis of its determinants requires a specific approach. In this sense, neither a pure foreign direct investment nor a portfolio theoretical model might be useful. So we propose a modelling of foreign real estate investment for Spain from the point of view of a demand for tourism services and from a financial focus. Using time series data from 1990 to 2007 the hypothesis arising from our foreign real estate investment modelling reveals the consistency of this approach. There seem to be relevant determinants from the demand side and from the financial dimension. Indeed, Gross Domestic Product per capita, expected capital gains, travel costs, tourism agglomeration and housing prices are all relevant factors explaining Foreign real estate investment. We consider that this case study may also be applied to other countries sharing similar foreign real estate investment type flows.     

基于灰色理论的房地产需求分析——以安徽淮南市房地产市场为例

通过研究影响房地产市场需求的主要因素及各因素对需求的影响机理,建立了基于灰色理论的房地产市场需求影响因素分析模型,对影响淮南市房地产市场需求的各因素进行实例分析,从而得出影响淮南市房地产市场需求各因素相对重要性.     

Money,interest, inflation and growth in Turkey

This paper estimates a two equation model of inflation and growth in Turkey over the period 1950–1977. Inflation is determined by the difference between the rates of change in nominal money supply and real money demand. The short-run growth function consists of an expectations augmented Phillips curve, to which a credit availability effect is added. Under Turkey's disequilibrium institutional interest rate and exchange control systems, the real supply of domestic credit is determined, in large part, by real money demand which is, in turn, influenced by the real deposit rate of interest. The central bank can use both the nominal money supply and the nominal deposit rate of interest as policy instruments for stabilisation purposes.