Introduction

Real estate valuations ignore physical climate risks (flood, drought, wildfire) despite potential impacts on asset values and insurance costs. Machine learning models integrate climate risk projections into property valuations, enabling REITs and investors to discount climate-vulnerable properties appropriately.

Climate Risk Integration

For each property, estimate exposure: flood risk (proximity to water, elevation, precipitation projections), wildfire risk (geographic/vegetation factors), drought risk. Quantify impact on future property values and operating costs (insurance, repairs, decreased demand). Discount valuations for high-risk properties.

REIT Implications

REITs with portfolios concentrated in climate-vulnerable regions (coastal flood risk, western wildfire risk, drought-prone areas) face long-term headwinds. REITs with resilient portfolios offer better long-term returns. Use climate-adjusted valuations for REIT selection.

Conclusion

Climate-adjusted real estate valuations identify undervalued resilient properties and overvalued climate-vulnerable ones.