Assessing climate change’s physical risk impacts with our proprietary extreme weather modeling tool, tipping points and recent temperature anomalies

Ortec Finance’s ClimateMAPS - climate scenario analysis solution evaluates physical climate risks with an approach that generates escalating impacts that agree with the Institute and Faculty of Actuaries’ (IFoA’s) recommended use of a logistic damage function.

This approach utilizes ClimatePREDICT, which incorporates GDP impacts arising from a wide range of acute physical risk drivers, including extreme weather event occurrences, direct insured and uninsured losses and urbanization rates for 1800+ cities and 150+ countries.

Our Ortec Finance Climate Scenarios also incorporates the impacts from climate tipping points and recent temperature anomalies.

Climate damage functions - % GDP loss vs temperature by 2100

How does ClimatePREDICT assess physical climate risks?

Translates open-source historical data of extreme weather frequencies and associated losses

Models the impacts of temperature anomalies, population trends and risk factors for specific weather perils

Considers a city’s capabilities to respond to extreme weather

Applying ClimatePREDICT in ClimateMAPS

The data generated from ClimatePREDICT is integrated with our Economic Scenario Generator and Cambridge Econometrics’ E3ME macroeconometric model to quantify climate change risks and opportunities across all asset classes, macroeconomic variables and sectors.

Climate Predict

About ClimateMAPS

ClimateMAPS - Ortec Finance’s top down climate scenario analysis solution for financial institutions, in exclusive partnership with Cambridge Econometrics, realistically quantifies a financial institution’s portfolio climate risks as well as opportunities, across all asset classes and macroeconomic variables. Its comprehensive asset class, macroeconomic and sector insights help financial institutions understand how climate change can impact returns and can be integrated with traditional risk analysis and asset liability management frameworks.
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