All Climate Alpha products are built on our cloud-based enterprise platform. We offer an enterprise license for full platform access to our multiple products:
Climate Price™: Risk-adjusted valuation forecasts at the asset and portfolio levels
Alpha Finder™: Location analysis tool for acquisition strategy and fund construction
Resilience Index™: Dashboard of risk, vulnerability, and readiness scores
Scenario Forecaster™: Dynamic platform to stress test and model asset performance under user-generated conditions
Climate Alpha products are interrelated and interoperable. For example, Resilience Index scores impact Climate Price forecasts and are calibrated to the multiple climate models that run on our Scenario Forecaster™. Furthermore, Alpha Finder results can be fed into the Scenario Forecaster™ for additional stress testing.
Climate Alpha has pioneered a methodology to forecast the risk-adjusted values of land and property under diverse climate and user-generated scenarios.
Climate Price™ forecasts include:
Risk-adjusted valuations and CAGR forecasts annually to 2040
Bespoke forecasts for all property types
Asset and fund-level performance rankings to support disposition and acquisition strategies
Screen 40,000 U.S. zip codes and Canada for locations with the highest correlation to top performance across dozens of indicators and proprietary indices. Tailor searches to investment mandate criteria to drive more confident asset allocation and fund construction.
Climate Alpha’s proprietary Resilience Index™ scores every county in America according to risk, vulnerability, and readiness factors, allowing for local adaptation investments to shape market forecasts. Climate Alpha’s suite of indices also includes the COVID Response Index, the Infrastructural Renewal Index, and more.
Climate Alpha’s patent-pending scenario forecaster™ uses advanced machine learning techniques to incorporate large and diverse datasets, allows for the manipulation of key variables simultaneously, and generates robust valuation forecasts that can complement and reinforce traditional forecasting methods.
Users can choose from a library of preset RCP/SSP climate pathways, or blend these scenarios with internal hypotheses using our customizable scenario builder that supports user-generated simulations reflecting the complex interplay of climate with socioeconomic, demographic, market, and other variables.
Blend internal or vendor data with Climate Alpha’s data lake for comparison, validation, and customization of forecasts:
Embed internal or vendor data into private client data lake
Broaden analysis by fusing with our time-series variables
Enhance accuracy by retraining forecasting models
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