
This strategic partnership between Capgemini, Watershed, and riskthinking.AI helps businesses proactively manage climate-related financial risks through advanced data and modeling. Combining Capgemini’s AI expertise, Watershed’s sustainability management, and riskthinking.AI’s climate risk analytics, companies can confidently navigate OSFI’s Guideline B-15, turning compliance into strategic advantage and enhancing resilience.

The document demonstrates that it is possible, even with limited resources and only open data, to generate robust geospatial ESG insights that often can be scaled globally – aiding financial institutions to better differentiate environmental impact at different scales and across different applications.

The Bloomberg quant research team has taken a deeper look at trading based on weather conditions. The research leveraged bespoke snowfall exposure indexes built using two data sets: one containing the GPS locations of all retail stores in the U.S. and the other being a historical database of snowfall measurements in the U.S. maintained by Weather Source. This information was then used to evaluate the effect of significant snowstorms on retail operations, taking regional norms for precipitation into account.

In the white paper “Quantifying the Equity Impact of Cyclones on Manufacturers,” Bloomberg’s Quant Research and Maps Engineering teams examine how a cyclone’s forecasted landfall can impact U.S. companies and their suppliers, both before and after a storm. For comparison, they also study the performance of Japanese stocks, which have been particularly impacted by a number of mega-storms over the past two years.
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