A common definition of liquidity in real estate investment is the ability to sell property assetsquickly at full value, as reflected by transaction volume. The present paper makes methodologicaland conceptual contributions in the study and understanding of liquidity. First, we extendthe Fisher...

Private real estate markets have experienced signi ficant in inflows of institutional capital over the last couple of decades. In this paper we seek to understand what are the implications of this recent development. Employing a generalized Hamiltonian Monte Carlo Bayesian procedure we find...

This paper proposes a methodology for using machine learning regression models to create price indices. In our study we developed six commercial real estate price indeces for the city of New York from year 2000 to 2019. The regression models used in this study are eXtreme Gradient Boosting Tree...