Commercial real estate represents a significant fraction of total U.S. wealth, but its risk and returns at the property level are largely unknown. This paper utilizes detailed cash flow information of 2,845 commercial properties acquired for about $89 billion by institutional investors of NCREIF...

This paper develops a novel empirical method that uses property level cash flow information to estimate the risk and return characteristics of private commercial real estate. Monte Carlo simulations suggest that this method is more accurate than the conventional index-based approach. Applying...

I compare the performance of the index-based time series approach and the cross-sectional approach in estimating factor loadings of non-traded assets, and show that the latter likely provides less biased and more efficient estimates. I then use the cross-sectional approach to estimate the...

This paper examines the dynamics of the covariance matrix of return rates for securitized real estate, other company stocks, and government bonds for a cross-section of eight countries. In-sample analysis establishes that in all countries the covariance matrix is time-varying and reacts stronger...

When using daily mutual fund returns to study market timing ability, heavy tails and heteroscedasticity significantly challenge the existing methods. We propose a weighted nonparametric measure and test for market timing. The test finds that the traditional parametric inference misclassifies...

This paper analyzes the implications of cross-sectional heteroskedasticity in repeat sales regression (RSR). RSR estimators are essentially geometric averages of individual asset returns because of the logarithmic transformation of price relatives. We show that the cross sectional variance of...