Real Estate Economics 

About: Real Estate Economics is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Real estate & Real estate investment trust. It has an ISSN identifier of 1080-8620. Over the lifetime, 1403 publications have been published receiving 57553 citations.

The Cross Section of Expected REIT Returns

Abstract: In this study, we examine the cross-sectional determinants of expected REIT returns. We examine both the pre- and post-1990 periods, since the structure of the REIT market changed substantially around 1990. The determinants of expected returns differ between the two subperiods. In the pre-1990 subperiod, momentum, size, turnover and analyst coverage predict REIT returns. In the post-1990 period, momentum is the dominant predictor of REIT returns. Given the strength of the momentum effect in the post-1990 period, we examine it in great detail. For the whole period, and for the post-1990 period where the momentum profit is strongest, our evidence is generally consistent with the studies on common stocks other than REITs. The only striking exception is that we find that momentum is stronger for the larger REITs rather than for the smaller REITs. In our multiple regressions that include the characteristics as well as interactions between past returns and firm characteristics, the turnover–momentum interaction effect provides the most significant results. More specifically, momentum effects are stronger for more liquid REITs.

Forecasting Prices and Excess Returns in the Housing Market

Abstract: The paper uses quarterly indexes of existing single-family home prices estimated with microdata on properties that sold more than once to estimate excess returns to investment in owner-occupied housing. Housing prices and excess returns are estimated over the period 1970:1 to 1986:3 for Atlanta, Chicago, Dallas, San Francisco. Using time-series cross-section regressions we test for the forecastability of prices and excess returns using a number of independent variables. Price changes in one year tend to continue for more than one year in the same direction. The ratio of construction costs to price, changes in adult population and increases in real per capita income all are positively related to excess returns or price changes over the subsequent year. The results add weight to the argument that the market for single-family homes is inefficient.

What Does the Stock Market Tell Us About Real Estate Returns

Abstract: This paper analyzes the risks and returns of different types of real estate-related firms traded on the New York and American stock exchanges (NYSE and AMEX). We examine the relation between real estate stock portfolio returns and returns on a standard appraisal-based index, and find that lagged values of traded real estate portfolio returns can predict returns on the appraisal-based index after controlling for persistence in the appraisal series. The stock market reflects information about real estate markets that is later imbedded in infrequent property appraisals. Additional analysis suggests that the differences in the return and risk characteristics across different types of traded real estate firms can be explained in part by appealing to real estate market fundamentals relating to the degree of dependence of the real estate firm upon rental cash flows from existing buildings. These findings highlight the heterogeneity of securitized real estate-related firms.

Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values

Abstract: This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and noncertified buildings. These are additional occupier benefits, lower holding costs for investors and a lower risk premium. Drawing upon the CoStar database of U.S. commercial real estate assets, hedonic regression analysis is used to measure the effect of certification on both rent and price. The results suggest that, compared to buildings in the same submarkets, eco-certified buildings have both a rental and sale price premium.

The Duration of Marketing Time of Residential Housing

Abstract: The marketing of unique durable goods such as housing presents a good example for the application of search theory. An optimal stopping rule strategy is employed to model sellers' behavior. The primary hypothesis is that the greater the atypicality of a house, the greater the expected variance of offers. Because a maximizing seller will wish to entertain more offers the greater is the variance, the marketing time of atypical houses will be relatively longer than that of standard houses. Using a sample of resale houses, the empirical study uses a failure time model to confirm the hypothesis. Extensions are mentioned, including discussions of the role of the list price and the limitations of the standard hedonic regression approach when applied to housing.