The diversity of data for the physical and transitional risk of climate change is wide and complex, and they require different datasets that are calculated differently. Accurately understanding their impacts on your organization’s portfolio demands bespoke scenarios and geospatial awareness of interactions.
A new report by S&P Global Ratings indicate that reinsurers may be underestimating climate risk exposure by up to 50%, modeling extreme weather events as less frequent...
A true pleasure for Maptycs to present for the Dragon’s Den session during the Airmic Climate Change forum earlier today! Our presentation – as well as resources from...