Inferring an Investment Return Series for Real Estate from Observations on Sales

Accurate measurement of the returns to real estate investment are essential to sound analysis. This paper improves upon the traditionally employed method—collecting comparable sales data. A dynamic model of real estate appraisal is developed in which agents have incomplete information, heterogeneous search costs, and varying expectations. Various types of simulation analysis of the model indicate it performs best in the sense that the return estimate converges to the true value faster than other simpler rules.     

Return Risk and Cash Flow Risk with Long-term Riskless Leases in Commercial Real Estate

This paper presents a conceptual analysis of some of the key fundamentals that underlie the risk characteristics of commercial real estate returns. In particular, the relationship between the property's return risk and its cash flow risk is explored. This relationship is important because it is the return risk that should matter most to investors, yet it is the cash flow risk or market risk about which we may have the most objective information and the most intuition. This is because real estate assets are generally unsecuritized and trade too infrequently to observe time series of returns (including appreciation) that could be used to directly study the risk characteristics of the returns. By explicitly incorporating the possibility of cash flows governed by riskless long-term leases, this paper also explores the relationship between lease term and both cash flow risk and return risk.     

房产

城市别墅全享价值,五期临河珍藏火热公开 距离徐家汇仅约20分钟车程的银都名墅,以近7成的土地面积建造江南园林景观。是一座城市中的森林公园。银都名墅专门挑选30年以上的成年桦树.种植在中国居住文化里象徵阖家兴旺的竹林。     

A Further Examination of Appraisal Data and the Potential Bias in Real Estate Return Indexes

Recent articles by Giliberto [2] and Geltner [1] examine the biases inherent in the use of appraisal data in real estate performance measurement. This note takes another look at the direction and magnitude of any bias in holding period returns. Using appraisal data from a commingled real estate fund, we show that in actual application the size of the holding period return bias can be quite small and this bias may have no appreciable effect on real estate return indexes.     

房地产行业信用满意度相关因素灰色关联性分析

当前房地产企业信用缺失现象严重,这对房地产市场的健康发展产生很大的负面影响.文章引入灰色关联分析模型并运用灰色相关分析的原理,借助DPS软件,通过对中国12个典型城市的房地产行业信用满意度与相关因素进行关联实证分析,并按相关程度排列出次序.经过分析研究得出以下结论:良好的房地产行业信用满意度与房地产投资及房价增长呈正相关关系,但是房地产行业利润多少与房地产信用满意程度关系不大.如果房地产诚信缺失,企业不会因为诚信缺失而遭致惩罚,失信成本过低,这也是部分房地产企业漠视企业诚信的原因.     

Commercial Real Estate Returns

In the commercial real estate market, which is perceived to be relatively inefficient, investors have comparative advantages; hence there are significant costs to diversification. This paper presents for the first time a series of market (or quasi-market) returns for a large data base. This data base is believed to be the most complete commercial real estate data base yet constructed. The paper empirically evaluates the benefits of diversification along various dimensions within the commercial real estate opportunity set. The analysis confirms certain aspects of prior work concerning inflation protection and diversification opportunities while concluding that even investment grade real estate investments are heterogeneous assets.     

Diversification Categories in Investment Real Estate

This paper continues previous work evaluating the benefits of diversification and analyzes the various dimensions within the commercial real estate opportunity set. The database is large and extends through the 1982 downturn in property values. Due to the low levels of systematic risk, current distinctions by region and property type make little sense in a world of costly diversification. More exacting categories combining property type, SMSA growth rate and lease maturity offer promise for more efficient diversification within the real estate portfolio.     

Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present-Value Approach

This paper develops a methodology to identify asset price response to news in the framework of the Campbell–Shiller log-linear present-value equation. We further show that a slow price adjustment in real estate markets not only induces a high serial autocorrelation in excess returns, but also dampens the return volatility and the correlation with excess returns in other asset markets. Using Hong Kong real estate and stock market data, we find that the quarterly real estate price assimilates only about half the effect of market news, whereas the quarterly stock price incorporates the news fully. Our analysis identifies a cumulative price adjustment that recovers lost information in real estate returns due to market inefficiency and thereby restores the real estate return volatility and the correlation between real estate and stock markets.     

The Real Estate Pricing Puzzle

The state-of-the-art with respect to pricing real estate is similar to that with respect to pricing securities just prior to the development of the CAPM. Reading the entrails of real estate markets, however, has proven a formidable task, and the problem is not limited to inadequate data. Perhaps the most important lesson to date is that available pricing models are not up to the task.     

A Further Examination of Appraisal Data and the Potential Bias in Real Estate Return Indexes: Comment and Clarification

This comment points out a flaw in Gau and Wang's recent empirical analysis of appraisal return bias and clarifies a point in Geltner's previous article that may have misled Gau and Wang as well as others. In examining appraisal bias in returns it is important to distinguish between cross-sectional versus time-series moments. In dealing with time-series data, both the arithmetic mean and the geometric mean returns offer useful information and can complement each other in correcting for appraisal bias in the first moment of returns series.     

Capital Structure Decisions in Real Estate Investment

This study examines the financing decisions of real estate investors and the choice of capital structure when acquiring income-producing properties. Drawing from the literature in finance and real estate, we develop a capital structure model for real estate investment and derive six hypotheses regarding the relationship of the overall loan-to-value ratio chosen by an investor to selected characteristics of the investment. The hypotheses are then tested using financing data from a sample of apartment and commercial transactions over a fifteen-year period in a specific real estate market. The empirical findings strongly support the importance of depreciation deductions, financial distress costs, capital constraints, tax rates, and interest rates as determinants of the capital structure of real estate investors.     

对我国发展房地产投资信托的思考

我国房地产正出于飞速发展时期，巨大的投资需要造成了庞大的融资需求，而近来房地产信贷门槛的提高导致房地产融资成本提高。房地产行业迫切需要银行外的融资渠道，以解决开发和经营的资金问题。从房地产投资信托定义和基本原则入手，将房地产投资信托与其他融资方式进行比较，分析其优势，探讨其运营模式，并提出相关建议。     

The Substitutability of Real Estate Assets

This paper investigates the degree of substitutability between securitized real estate assets and real estate assets whose prices are appraisal-based. Given the insensitivity of unsecuritized asset's returns to the returns on stock market indices, equilibrium asset pricing models cannot be used to compare these two avenues of investment. Two assets are deemed substitutable if the information sets underlying unbiased, minimum error variance estimates of their pricing parameters are identical. The empirical evidence shows that the prices of the transactions-based assets—real estate investment trusts and the stock price index of the home building industry—follow a random walk while the prices of the appraisal-based assets—FRC/NCREIF indices—do not. The variance decompositions of the vector autoregressions also show that the level of economic activity helps predict the price indices of appraisal-based assets while the stock market index and the term structure of interest rates are better predictors of the prices of transactions-based assets     

房地产信托火爆的背后

一边是房地产信托的火爆,一边是监管层对其风险的关注,如何控制风险,是投资人必须谨慎对待的事项。11月7日,银监会发布的通知给火热的房地产信托市场提了一个醒,通知警示信托公司不得违规操作,放大行业风险。而在此之前,这一市场确实火爆得异乎寻常。     

Clustering Methods for Real Estate Portfolios

A clustering algorithm is applied to effective rents for twenty-one metropolitan U.S. office markets, and to twenty-two metropolitan markets using vacancy data. It provides support for the conjecture that there exists a few major "families" of cities: including an oil and gas group and an industrial Northeast group. Unlike other clustering studies, we find strong evidence of bicoastal city associations among cities such as Boston and Los Angeles. We present a bootstrapping methodology for investigating the robustness of the clustering algorithm, and develop a means for testing the significance of city associations. While the analysis is limited to aggregate rent and vacancy data, the results provide a guideline for the further application of cluster analysis to other types of real estate and economic information.     

房地产上市公司过度投资的实证研究

房地产企业的投资问题一直是大众所关注的热点,近年来房价居高不下,政府也屡次发文对房地产企业及市场进行控制,学术界对房地产业也做了较多的研究。本文以2007年-2010年我国房地产上市公司为研究对象,在分析国内外已有研究的基础上,建立了多元线性回归模型组,采用"投资-现金流敏感性"检验的方法对过度投资进行验证。研究表明我国房地产上市公司投资行为与现金流之间存在敏感性,进一步验证了我国房地产上市公司存在过度投资行为。     

Portfolio Considerations in the Valuation of Real Estate

When a real asset rises in price faster than inflation (as real estate did in the late 1970s) and rises significantly in price over an extended period (as real estate has done for the last decade and one-half), it concerns valuation and investment professionals who fear about it being over-valued. One of the reasons for such price performance may be an increase in demand due to the portfolio characteristics of the asset during the period of time in question. For real estate this means the proportion included in optimal portfolios should be significant and increasing as individual tax rates increase in an environment of increasing average tax rates.
This study uses six tax brackets (0%, 10%, 20%, 30%, 40%, 50%) and portfolios consisting of three traditional assets (NYSE common stocks, corporate bonds and small stocks) plus three types of real estate (residential, business and farmland) to demonstrate that this is what has transpired in the real estate markets. Optimal portfolio weights are derived for each asset for after-tax portfolios. Real estate in general and residential real estate especially increased as a proportion of the optimal after-tax portfolio as individual tax rates increased. Other studies are used to demonstrate an environment of increasing average tax rates.