This paper deals with an investigation centered on developing a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …

Purpose This study aims to study the sensitivity of nonlisted real estate investment
companies' accounting earnings to house prices. This study evaluates whether house price …

Conditioned geographical clustering is the strategy of grouping portions of a REIT's property
portfolio within a contiguous region to exploit economies of scale through spatial proximity …

This study addresses how and why the stock return volatility of REITs changes over time and
identifies which mechanisms influence it at a firm level. Using US equity REIT data from …

This paper investigates the impact of property type and geographical diversification on the
cost of public debt for US real estate investment trusts (REITs). We measure diversification …

Using simulation analysis and property-level data for the US, we compare performance
metrics for portfolios containing varying proportions of gateway and non-gateway markets …

We conduct a quasi-natural experiment for Hong Kong to explore the spatial effects
associated with proximity to Covid-19 infections on real estate equity performance. During …

This study employs dynamic model averaging and selection of Vector Autoregressive and
Time-Varying Parameters Vector Autoregressive models to forecast out-of-sample monthly …

With the growing number of publicly listed property companies worldwide, investors are
increasingly interested in assessing the risks of such real estate companies in the stock …

This paper first documents the impacts of property age on the operational efficiency, portfolio
risk and market valuation of REITs. Based on the findings, we examine three possible …