Thank you for addressing such a crucial topic. Looking forward to our upcoming June meetup focused on ESG data challenges.
I'd like to mention another painful topic, which is physical risk data, encompassing data on chronic and acute events.
Under CSRD regulations many financial services firms will have to quantitatively evaluate the vulnerability of their assets to physical risks. In order to help firms with this task, we are currently trying to re-use models deployed by insurers to predict losses for catastrophic bonds. However, the insurance industry has traditionally focused on modeling losses associated with so called primary perils, e.g. earthquakes. Losses from secondary perils such as floods, wildfire or storms have not been widely modeled, and, therefore, cat bonds models do not capture the losses from such acute events well. One of the problems in modeling secondary perils is a lack of historical data.
It would be great to learn if any of our community members are facing with similar problems, and share their insights on how they assess the exposure of their assets to physical risk. Are you utilizing open-source models, or are you developing proprietary ones internally?
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Anastasia Kuznetsova
Associate Business Analyst
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