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.     

Estimating Returns on Commercial Real Estate: A New Methodology Using Latent-Variable Models

Despite their widespreao use as benchmarks of U.S. commercial real estate returns, indexes produced by the National Council of Real Estate Investment Fiduciaries (NCREIF) are subject to measurement problems that severely impair their ability to capture the true risk–return characteristics–especially volatility–of privately held commercial real estate. We utilize latent-variable statistical methods to estimate an alternative index of privately held (unsecuritized) commercial real estate returns. Latent-variable methods have been extensively applied in the behavioral sciences and, more recently, in finance and economics. Unlike factor analysis or other unconditional statistical approaches, latent variable models allow us to extract interpretable common information about unobserved private real estate returns using the information contained in various competing measures of returns that are measured with error. We find that our latent-variable real estate return series is approximately twice as volatile as the aggregate NCREIF total return index, but less than half as volatile as the NAREIT equity index. Overall, our results strongly support the use of latent-variable statistical models in the construction of return series for commercial real estate.     

Transactions-Driven Commercial Real Estate Returns: The Panacea to Asset Allocation Models?

A transactions-driven commercial real estate return series is generated in this study to determine whether the reliance on appraised values in the estimation of real estate returns is the source of the reported underpricing of real estate relative to stocks, bonds, and bills when analyzed in a traditional mean-variance setting. The reported underpricing of commercial real estate would be rational if transactions-driven returns exhibit more variance than appraisal-driven returns. While we find that transactions-driven real estate returns have greater variance than appraisal-driven returns for individual properties, most of the individual property risk is idiosyncratic and diversified away at the portfolio level. Real estate continues to be a dominate asset class in mean-variance allocation models even when represented with transactions-driven indices.¹     

Historic Returns and Institutional Real Estate Portfolios

This study employs a sample of equity REIT portfolios from 1972–78 to investigate various aspects of real estate returns. Return estimates are derived for the unlevered cash yields by property size, type and location. Based on these data, the effects of certain kinds of diversification on risk-adjusted returns are examined. Finally, historic REIT portfolios are compared to current commingled fund portfolios and suggestions made concerning the benefits of restructuring.     

Appraisal-Based Real Estate Returns under Alternative Market Regimes

In this article we use Monte Carlo simulation to study the statistical properties of real estate returns. We set up a model where transactions prices are noisy signals of true prices. We then consider a number of appraisal rules, derived from Bayesian and non-Bayesian theory, to estimate the current true price and rate of return. The class of exponential smoothing and Kalman filter rules perform well at both the disaggregate (returns on an individual property) and aggregate (returns on a real property portfolio) levels. A special case of exponential smoothing (α= 1.0) places all weight on current market data. Since this case eliminates smoothing, our results suggest that appraisers should place all weight on current data (no weight on past data) provided that they want to estimate returns rather than values. However, these results should be used with caution if sales prices are very noisy.     

商业银行房地产项目放贷初始决策研究

信贷业务是商业银行利润的主要来源,也是银行管理和决策中最复杂、最困难的金融业务之一,具备一个良好贷款资产结构和拥有大量较强盈利能力贷款资产是商业银行核心竞争力的重要体现之一.文章从银行视角出发,对房地产项目的放贷问题进行投资分析,由于该决策具有刚性,故传统投资分析方法足够对其评价;对某房地产新项目实例进行计算分析,采用以资本资产定价模型为基础的适用新模型确定折现率,取得了较好的效果,具有一定的现实应用意义.     

Current Issues in the Analysis of Commercial Real Estate

This paper identifies and discusses a number of current issues regarding our understanding of commercial real estate markets. These issues include: 1) accurate estimation of the quantity and location of our nation's commercial space; 2) an understanding of the linkage between the space and capital markets for commercial real estate; 3) identification of the macroeconomic factors that affect the rate of return on commercial property and whether local market factors also affect the rate of return; 4) problems associated with measuring the return characteristics of equity investments in commercial property (including measures of the diversification benefits and inflation-hedging abilities of this asset class); 5) a better understanding of rental markets, including good measures of changes in effective rents over time; and 6) examination of the rationale for ownership of commercial space by corporate users. This paper reviews recent research related to these questions and suggests future research that should prove to be fruitful.     

地产中介:拐点未到

房地产的冬天真的来了么?地产中介们并不那么认为。去年下半年开始,房地产进入拐点时期的声音就不绝于耳,去年11月,深圳中天置业总裁蒋飞携款潜逃,连续几家大规模的房地产中介倒闭,今年1月,北京信一天     

The Motivation for Institutional Real Estate Sales and Implications for Asset Class Returns

Since real estate assets are sold infrequently, analyses that use samples of exclusively sold properties to estimate pricing models may be seriously in error. This paper uses data on samples of sold and unsold properties and an appropriate statistical methodology to evaluate the extent of this bias. The results clearly show that it is important to control for sales motivations and that pricing equations that ignore this source of bias may be misleading.     

The Impact of Market Imperfections on Real Estate Returns and Optimal Investor Portfolios

This study investigates the consequences of several imperfections associated with real estate markets on pricing and optimal investor portfolios from a CAPM context. CAPM assumptions are relaxed to recognize illiquidity, the consumption and investment attributes of owner-occupied housing, and a mildly segmented market structure. The study finds that relaxing the CAPM assumptions lead to a separate pricing paradigm for financial assets, income-producing real estate and owner-occupied housing respectively, that a "dividend effect" arises for real estate as the result of illiquidity, and that illiquidity reduces the extent to which investors hold real estate in their portfolios.     

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。     

基于消费力角度的商业地产项目规模定位研究

在商业地产项目定位中,项目规模的定位直接关系到资本的运作效率和开发商与投资商的利润率。文章在商圈理论的基础上,立足消费者的消费力角度,通过一个具体的定量模型来确定商业地产项目的规模。模型的创新之处在于加进了关系消费得以实现的渗透率概念并提出了其计算公式,这大大提高了模型计算结果的实用性和科学性。提出了确定商业地产项目规模的步骤,并在商圈理论的背景下,提出了商业地产项目规模定位区间的新观点。     

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.     

A Note on Ranking Real Estate Research Journals

An understanding of how thirty real estate journals are perceived for promotion and tenure and for professional applicability was sought by surveying members of the two most important real estate academic organizations. Several subgroup comparisons were made revealing some common perceptions but a significant amount of disagreement as well. Among findings robust across the surveyed community were that the Journal of the American Real Estate and Urban Economics Association (changed to Real Estate Economics in 1995) is the most important outlet for promotion and tenure and the Appraisal Journal is the most important outlet for professional applicability. Two distinct journal groupings emerged: an academic group composed of eight journals and a professional group of twenty.     

Gains From Diversifying Into Real Estate: Three Decades of Portfolio Returns Based on the Dynamic Investment Model

This paper compares the investment policies and returns for portfolios of stocks and bonds with and without up to three categories of real estate. Both domestic and global settings are examined, with and without the possibility of leverage. The portfolios were generated via the dynamic investment model based on the empirical probability assessment approach applied to past (joint) realizations of returns, both with and without correction for "smoothing" in the real estate data series. Our principal findings are: (1) the gains from adding real estate, on a semi-passive (equal-weighted) basis, to portfolios of either U.S. or global financial assets were relatively modest; in contrast, (2) the gains from adding real estate to the universe of U.S. financial assets under an active strategy were rather large (in some cases highly statistically significant), especially for the very risk-averse strategies; (3) the gains from adding U.S. real estate to a universe of global financial assets under an active strategy were mixed, although generally favorable for the highly risk-averse strategies; (4) correcting for second-moment smoothing in the real estate returns series had a relatively small impact for the more risk-tolerant strategies; and (5) there was some evidence that desmoothing resulted in improved probability estimates.     

房地产投资的量度

根据天津市多年来房地产供求关系的有关资料,将最小二乘法和马尔可夫(Markov)预测法相结合,对天津市(城区)的房地产需求趋势进行了预测,并根据预测结果对未来的房地产需求情况进行了分析,经验证用这种数学模型预测出的结果与事实相符。     

On Option-Pricing Models in Real Estate: A Critique

This paper considers the problems peculiar to options on real estate, because of the special set of institutional factors influencing real estate markets. It is intended to serve as a reply to Johnson and Wofford [15] as well as provide an overall critique of option-pricing models in a real estate context. Our major point is that a variety of real estate decisions, such as the abandonment decision, the option to refinance, or the option to exercise a contingent real estate purchase contract, may be modeled using option-pricing techniques. However, both the theoretical and institutional aspects of real estate markets must be taken into account in both developing and applying option models in a real estate context.