This paper uses a difference-in-differences (DID) approach to identify the effect of proximity to COVID-19 cases on the returns of real estate firms. We use a novel micro-level dataset which combines extensive data on the geographic footprint of COVID-19 patients, i.e. the locations they have...

We study the effect of geographic portfolio diversification of real estate firms on their investment performance before and after the global financial crisis (GFC). In addition to previously used dispersion metrics, we also account for the distance of the properties to the corporate...

This paper uses the global systemic shock associated with the outbreak of the novel coronavirus COVID-19 to assess the risk-return relationship in the cross-section of real estate equities internationally. I construct a global COVID-19 risk factor to capture the risk exposure of individual...

We explore investor expectations about the effects of work from home (WFH) for the commercial real estate sector. We assess how differences in WFH exposure of listed real estate investment trusts (REITs) in the largest European economies – Germany, France and the UK – during the early stages...

We evaluate a number of real estate sentiment indices to ascertain current and forward-looking information content that may be useful for forecasting demand and supply activities. Analyzing the dynamic relationships within a Vector Auto-Regression (VAR) framework and using the quarterly US data...