Temporal Aggregation in Real Estate Return Indices

Temporal aggregation is defined as the use of spot valuations of properties occuring over an interval of time to impute the spot value of a property or of a real estate value index as of a single point in time. Temporal aggregation may characterize not only appraisal-based indices but also indices based directly on transaction prices, such as the National Real Estate Index (NREI) and regression-based indices such as hedonic or repeat-sales indices. This paper analyzes the effect of temporal aggregation on the smoothing of the time series second moments in the resulting real estate return index. Assuming true spot returns are uncorrelated, temporal aggregation-induced smoothing will cause the empirically observed real estate index to understate the own-variance by one-third and the beta by one-half. This amount of bias in the second moments can have major implications for the real estate share in an optimal portfolio. Thus, empirical-based investment analysis could be led astray by smoothing even if the real estate return index is "transaction-based" rather than "appraisal-based."     

Privately Versus Publicly Held Asset Investment Performance

Classic asset pricing is problematic as a method to assess privately held asset investment performance. We propose an alternative approach that involves adjusting the characteristics of assets constituting an index or portfolio to match the asset characteristics of a reference index or portfolio. This approach is applied to commercial real estate, where we create an index of REIT returns to compare to the NCREIF index. To enhance comparability, return indices are adjusted for partial-year financial data, leverage, asset mix and fees. Adjusted results over a 1980–1998 sample period show general convergence between the indices, although an annual return difference of over three percentage points remains in favor of public market asset ownership. Possible causes of the investment performance gap include liquidity and geography as missing risk factor adjustments, an unrepresentative sample period, and the form in which commercial real estate assets are held.     

Riskiness of Real Estate Development: A Perspective from Urban Economics and Option Value Theory

In this article, we define a new construct for urban economic and investment analysis, which revisits the conventional wisdom that investment in real estate development is riskier than investment in stabilized property assets. This new construct, referred as a “development asset value index” (DAVI), is a value index for newly developed properties (only) in a given geographical property market. It tracks longitudinal changes in the highest and best use (HBU) value of locations, and it reveals developer and landowner behavior taking advantage of the optionality inherent in land ownership. In particular, the DAVI reflects developers' use of flexibility in the exercise of the call option to (re)develop the property to any legal use and density. We empirically estimate a DAVI for commercial property (i.e., central locations) and compare it with a corresponding traditional transaction‐price‐based property asset price index (PAPI) corrected for depreciation. We believe that the difference primarily reflects the realized value of flexibility in land development. We find that the DAVIs display greater value growth and are smoother over time and less cyclical than their corresponding PAPIs for the same locations. This suggests that developers successfully use flexibility, and that development may be riskier than stabilized property investment due primarily only to leverage effects (construction costs). Practical implications are also discussed.     

Estimating the Lagging Error in Real Estate Price Indices

Real estate indices based on appraisals or sale prices of properties are known for their slow response to market news. These indices can therefore be represented (in logarithm) as the sum of a latent "true" price index and a lagging error. We show that the latent appreciation return and the lagging error can be jointly estimated in a state–space model, which has two key features. First, it employs exogenous variables known to predict asset returns to predict the latent appreciation return. Second, it incorporates known sources of the lagging error, such as the partial adjustment in observed index to the latent appreciation return and the seasonality in reappraisal quality. We find that, after the estimated lagging errors are removed, the appraisal–based National Council of Real Estate Investment Fiduciaries returns become more informative and hence exhibit (i) greater variance, (ii) weaker auto correlation, (iii) higher correlation with the returns of the securitized real estate and (iv) more timely response to market news.     

A value-in-process analysis of relationship interactions in non-equity alliances

In the domain of relationship marketing, there is an increasing need for greater understanding of ‘value’ in the process of social exchange interactions. We present a framework for analysis of value creation through these interactions. Two types of value creating interaction are identified, asset specific investment and technical exchange. Taking a series of 197 project-based, non-equity alliances between architects and building contractors, we examine value creation through these interactions. The findings establish that value in the relationship process is co-created and that this occurs through an iterative investment in specific assets at the operational level throughout the alliance. Additionally, the exchange of technical information at the operational level is found to be a source of value for the relationship and has iterative and co-creational characteristics similar to investment in specific assets. We provide an explanation for the relationship between these interaction types and relational value. We also find that goodwill trust's positive relationship with the asset specific investment interaction type is stronger in low, rather than high, operational compatibility partnerships. The implications for researchers and managers are explored and study limitations acknowledged.     

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     

A Metropolitan Transaction-Based Commercial Price Index: A Time-Varying Parameter Approach

This study examines the usefulness of time-varying parameter techniques for constructing reliable transaction-based commercial price indices for metropolitan areas. Time-varying parameter techniques allow the implicit prices of differing quality characteristics to vary intertemporally, overcoming the potential bias imposed by holding implicit prices fixed and simply interpreting time dummy variables as in a conventional hedonic approach. This paper empirically investigates three time-varying parameter methods (Chained, Laspeyres, and Paasche) and considers the potential for sample selection bias. Precision measures are constructed to examine the reliability of the respective indices.     

A review of: “ENGINEERING ECONOMY WITH COMPUTER APPLICATIONS”, by Dr. Arup K. Mnllik,Engineering Technology,Inc., Mahomet,Illinois, 1979, 289 pages,list 517.95.

This paper applies option pricing analysis to the problem of valuing the abandonment option of an investment proposal. The assumption is made that the abandonment option is exercisable at only one point in time in the future and that the project's vatue-in-use and its abandonment value are lognormally distributed. The model is employed to measure how the uniqueness of the project asset, as measured by the correlation between these two lognormal random variables, affects the value of the abandonment option. It is shown that the more unique the asset, or the higher the correlation, the lower is the value of the abandonment option. The model is also employed to examine the impact of increased uncertainty in these two random variables on the value of the abandonment option. The relationships are shown to be nonmonotonic. However, beyond critical thresholds, increased uncertainty in either one of the two variables enhances the value of the abandonment option.     

REIT Asset Sales: Opportunistic Versus Liquidation

This study provides novel evidence that the outcome from REIT sales of office and apartment property is signaled in the transaction price managers accept relative to the fundamental value. The identification strategy recognizes opportunistic sales as sold at prices above fundamental value. Opportunistic sales are followed by positive abnormal returns, measured relative to the market and associated benchmark indices. Assets sold below fundamental value are liquidated by firms with low profitability, low cash and low investment opportunities. Discounted transactions experience zero abnormal returns. Returns following asset sales are influenced by accounting measures, the flow of funds and financial constraints.     

Integrating Illiquid Assets into the Portfolio Decision Process

We consider the issues associated with modeling the decision to invest in an illiquid asset, such as real estate, over an extended period of time. Markets for illiquid assets tend to display certain characteristics: for example, significant time‐till‐sale and correlation in the rates of return over time. More importantly, as the liquidity of a market cannot be an issue if an investor never needs to liquidate an asset, we focus on how the liquidity of a market interacts with an individual's uncertain need to liquidate. We show that the optimal strategy is state contingent, if possible. We also show that the penalty associated with an illiquid investment depends on the characteristics of other assets being held in the portfolio, on the characteristics of liquidity shocks and on the interaction between time and behavior. We show that borrowing to pay for a liquidity shock cannot overcome all of the costs of owning an illiquid asset. In contrast, borrowing at t = 0 benefits from the complementarity in the assets. In a simpler model, we show that the portfolio perspective makes illiquid assets more valuable to an investor with a longer time horizon.     

REIT Capital Budgeting and Equity Marginal q

Equity marginal  q  is the change in the market value of a company's equity in response to a one-unit unexpected change in its asset base. Hence, it is a profitability index that evaluates a firm's capital budgeting decisions at the margin. We estimate the equity marginal  q  for real estate–managing public corporations, namely, real estate investment trusts (REITs), in an attempt to understand how the various costs and benefits of being a public corporation play a role in managing this important asset class. Using the universe of equity REITs for the period from 1993 to 2005, we find that REITs with greater idiosyncratic volatility, higher stock turnover and smaller bid-ask spread have a higher equity marginal  q . In addition, both the holdings of institutional investors and their investment horizons are respectively positively related to equity marginal  q.  With these firm characteristics taken into account, firm size is found to be negatively related to equity marginal  q . Our findings are economically important as well, because the equity marginal  q  ratio alone accounts for approximately one-third of the total REIT shareholder wealth change during the study period.     

An Options Approach to Valuing Expansion Flexibility in Flexible Manufacturing System Investments

Flexibility in manufacturing processes provides an ability to change or even reverse the decisions made in earlier periods. The traditional economic evaluation methods of investments in flexible manufacturing systems ignore the value of flexibility, which should be one of the key issues in the justification process. Options approach appears as a means of overcoming the limitations of conventional discounted cash flow methods. In this work, a methodology for valuing expansion flexibility of flexible manufacturing systems is presented. Expansion flexibility in a phased manufacturing investment can be valued by viewing an initial investment as being analogous to purchasing an option to exchange one risky asset for another risky asset within a time period from the initial investment. While keeping the option to expand is of value, a thorough analysis requires that the opportunity cost of delaying expansion be taken into account. In this paper, an analytic approximation methodology for valuing sequential American exchange options on dividend paying stocks is employed for valuing expansion flexibility. A comprehensive numerical example is presented to illustrate the approach, and sensitivity analyses are performed.     

Optimal Valuation of Noisy Real Assets

We study the optimal valuation of real assets when true asset values are unobservable. In our model, the observed value cointegrates with the unobserved true asset value to cause serial correlation in the time series of observed values. Autocorrelation as well as total variance in the observed value are used to calculate an efficient unbiased estimate of the true asset value (the time–filtered value). The optimal value estimate is shown to have three time–weighted terms: a deterministic forward value, a comparison of observed values with previously determined time–filtered values, and a convexity correction for incomplete information. The residual variance measures the precision of the value estimate, which can increase or decrease monotonically over time as well as display a linear or nonlinear time trend. We also show how to revise time–filtered estimates based on the arrival of new information. Our results relate to work on illiquid asset markets, including appraisal smoothing, tests of market efficiency, and the valuation of options on real assets.     

Optimal Valuation of Claims on Noisy Real Assets: Theory and an Application

A theory for valuing claims on noisy real assets is developed and applied. Central to the theory is determination of the dynamics for the best estimate of real asset value. The dynamics of the value estimate are shown to differ from the dynamics of the true asset value only in the arrival rate of information. The rate of information arrival in the value estimate can be faster or slower than information arrival in the true asset value, which can lead to unexpected outcomes in the valuation and exercise of options on noisy real assets. The theory we develop is illustrated through an application. An imperfectly competitive market for real estate development is examined, in which agents compete over the timing of lead investment. Information spillover and free–rider incentives are shown to cause significant delay in lead investment. Delay together with a competitive response once lead investment has occurred explain observed patterns of development in gentrified urban land markets and multistage development projects.     

中国省域经济发展影响因素及其时空规律研究——基于GTWR模型

文章基于2006～2013年中国省会城市数据,应用时空加权回归模型（GTWR）,将时间和空间信息纳入到模型之中,从空间异质性的角度考察我国各个省域的教育、FDI、固定资产投资、产业结构、进出口贸易对GDP的空间交互作用及影响差异。研究结果表明,各影响因素存在着不可忽视的个体差异,这种差异导致经济发展水平在时间,空间分布上具有显著的异质性特征;随着时间和空间的推移,教育对经济发展的促进作用不断增强并呈现出东高西低的格局;FDI对经济增长的推动作用不断增强并呈现出异质性特征;固定资产投资对各地经济增长贡献减弱;进出口贸易对各地经济增长贡献增强。因此,加强各地区教育水平,优化产业 结构成为各地区经济均衡发展的关键。     

Pension-Plan Real Estate Investment in an Asset–Liability Framework

This study explores the role of pension-plan real estate investment in an asset–liability framework. By assuming that the pension-plan manager wishes to have assets of at least equal value to the liabilities at all points in time, an asset selection process is derived which depends on both the asset's covariance with other assets and its covariance with the liability stream. We generally find real estate not to be highly correlated with pension-plan liabilities. This finding is of general interest, since it helps to explain why pension-plan real estate investment is extremely limited and much smaller than one would expect if pension-plan investors cared only about the mean and variance of the real return to their invested wealth.     

Toward a behavioral theory of real options: Noisy signals,bias, and learning

Research Summary: We develop a behavioral theory of real options that relaxes the informational and behavioral assumptions underlying applications of financial options theory to real assets. To do so, we augment real option theory's focus on uncertain future asset values (prospective uncertainty) with feedback learning theory that considers uncertain current asset values (contemporaneous uncertainty). This enables us to incorporate behavioral bias in the feedback learning process underlying the option execution/termination decision. The resulting computational model suggests that firms that inappropriately account for contemporaneous uncertainty and are subject to learning biases may experience substantial downside risk in undertaking real options. Moreover, contrary to the standard option result, greater uncertainty may decrease option value, making commitment to an investment path more effective than remaining flexible. Managerial Summary: Executives recognize the need to make uncertain investments to grow their business while mitigating downside risk. The analogy between financial options and real corporate investments provides an appealing method to consider the practical challenge of such investment decisions. Unfortunately, the “real options” analogy seems to break down in practice. We identify how a second form of uncertainty confounds real options intuition, leading managers to overestimate the value of uncertain investments. We present a behavioral real options model that accounts for both forms of uncertainty and suggest how uncertainty interacts with behavioral bias in the option execution/termination decision. Our model facilitates assessment of the conditions under which investments in uncertain opportunities are usefully considered as real options, and provides a means to evaluate their attractiveness.     

Time and Risk Diversification in Real Estate Investments: Assessing the Ex Post Economic Value

Welfare gains to long-horizon investors may derive from time diversification that exploits nonzero intertemporal return correlations associated with predictable returns. Real estate may thus become more desirable if its returns are negatively serially correlated. While it could be important for long-horizon investors, time diversification has been mostly investigated in asset menus without real estate and focusing on in-sample experiments. This article evaluates, ex post, the out-of-sample gains from diversification when equity real estate investment trusts (REITs) belong to the investment opportunity set. We find that diversification into REITs increases both the Sharpe ratio and the certainty equivalent of wealth for all investment horizons and for both classical and Bayesian (who account for parameter uncertainty) investors. The increases in Sharpe ratios are often statistically significant. However, the out-of-sample average Sharpe ratio and realized expected utility of long-horizon portfolios are frequently lower than that of a one-period portfolio, which casts doubt on the value of time diversification.     

Commercial Mortgage Pricing with Unobservable Borrower Default Costs

This paper develops a pricing model for commercial real estate mortgage debt that recognizes the influence of default transaction costs on the borrower's default decision. These costs are heterogeneous across borrowers and largely un-observable to the lender/investor at the time of origination or loan purchase. A recognition of these unobservable costs can explain why borrower default decisions may differ from those predicted by "ruthless" mortgage-default pricing models. We address the determinants of default choice and timing by replacing sharp default boundaries found in the ruthless models with "fuzzy" boundaries that account for investor uncertainty with respect to evaluating borrower default decisions. To implement our model, we estimate probabilities of default as a junction of time and net equity in the property. Then, given that default occurs, loss severities are modeled based on expected property value recovery net of foreclosure costs and time until the asset is actually sold. Under reasonable parameter value choices, resulting Monte Carlo simulations produce numerical mortgage price estimates as well as component default frequency and severity levels that realistically reflect default premiums and loss levels observed in the marketplace.     

GMM Repeat Sales Price Indices

Illiquid assets are widely spread within the economy but their indices are difficult to measure. This paper proposes a Generalized Method of Moment (GMM) repeat sales regression for estimating illiquid asset price indices. This method has estimators that are arithmetic averages of individual asset returns. This method is able to estimate custom-weighted indices, including equal- and value-weighted indices. It can incorporate hedonic variables to improve estimation accuracy, and it can work with a reweighting technique to mitigate a biased sample problem. Simulations based on artificial markets indicate that the method is more accurate than some alternatives in both efficient and sluggish markets, with and without temporal aggregation. As an application, we use this method to estimate a commercial property price index.