Spatial equilibrium: understanding the impact of real estate demand and supply at a granular level. This enables the modelling of the response of cities and countries to shocks.
Spatial big data: satellite or vector-based spatial data requires knowledge of coordinate reference systems. Links with image recognition using artificial intelligence will be explored.
Asset valuation: here we present the most important methods used in real estate asset valuation by firms like Zillow and JLR: Rosen's hedonic prices Case Shiller's repeated transactions comparables and cost-based valuation.
Leverage and real estate credit: most real estate assets are purchased with credit. The impact of credit on valuation and yield will be described. Credit cycles will be estimated.
Property taxation: we will describe the various taxes and constraints (property tax school tax development fees urban plan) their impact on prices demand and supply and housing affordability.