This research starts from the observation that common desmoothing models are likely to generate some extreme returns. Such returns will distort risk measurement and hence can lead to investment decisions that are suboptimal relative to those that would be made if a transaction based index were...

Using U.S. data for 1986-2017, the paper focuses on the impacts of macroeconomic risk factors and leverage on the performance of the various types of real estate exposure (direct, non-listed, and listed). The response of core funds to economic risk factors is akin to that of direct investments;...

We review the main studies on house price synchronization and conduct an empirical analysis using OECD house price indices. We provide a discussion of the contributing factors of synchronization, with a focus on the demand and supply dimensions. Synchronization across both countries and cities...

Using data for 70 U.S. metropolitan areas, this study explores spatial heterogeneity in house price dynamics. We use recent advances in panel econometrics that allow for spatial heterogeneity, cross-sectional dependence, and non-stationary but cointegrated data. We test for spatial differences...

We analyze the impacts of alternative submarket definitions when predicting house prices in a mass appraisal context, using both ordinary least squares (OLS) and geostatistical techniques. For this purpose, we use over 13,000 housing transactions for Louisville, Kentucky. We use districts...