Digital Twins for Climate Data Gaps in Banking Risks

This research article explores the increasing frequency of floods due to climate change and their impact on firms' physical assets and banking risks. It highlights the use of digital twins to analyze granular datasets, assessing the exposure of banks to climate-related risks through firms' assets. The findings indicate that transferable asset losses from floods are significantly greater than property damage, emphasizing the need for improved data and analytical tools in financial risk assessment