The measurement of house price movements is a vital topic from both academic and practical perspectives and hence has been the focus of much research. There is almost unanimous consensus in the literature that house price indexes should control for the quality of properties; the most widely used...

In some applications of supervised machine learning, it is desirable to trade model complexity with greater interpretability for some covariates while letting other covariates remain a "black box". An important example is hedonic property valuation modeling, where machine learning techniques...

In the aftermath of the COVID-19 pandemic, non-core investments are gaining traction amongst institutional investors due to the shifting preference towards investment vehicles that position higher on the risk-return curve. Non-listed value-add real estate funds in Japan are one such vehicle....

This paper contributes to the literature by identifying the response patterns of direct and indirect real estate returns to shocks in the market fundamentals. The response speeds are estimated with vector autoregressive models using TBI and NAREIT returns for the period 1994-2009 in the United...