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FortuneGuard — An asset-level war-risk pricing and outcome dataset built as a byproduct of underwriting: 1,000+ assets quoted and 100+ assets insured for war/political-violence cover in Ukraine (roughly USD 2.5B of quotes and a USD 4B pipeline), each quote carrying asset type, sector, geolocated value, proximity-to-front-line distance, premium rate and structural layer, with the declined/quoted/bound outcome recorded (~one third of requests rejected). Supporting layers: an AI risk model trained on the Ukrainian government projectile/strike database plus open-source conflict data, live strike …
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An asset-level war-risk pricing and outcome dataset built as a byproduct of underwriting: 1,000+ assets quoted and 100+ assets insured for war/political-violence cover in Ukraine (roughly USD 2.5B of quotes and a USD 4B pipeline), each quote carrying asset type, sector, geolocated value, proximity-to-front-line distance, premium rate and structural layer, with the declined/quoted/bound outcome recorded (~one third of requests rejected). Supporting layers: an AI risk model trained on the Ukrainian government projectile/strike database plus open-source conflict data, live strike monitoring, cargo war-risk shipment pricing (up to USD 50M per international shipment / USD 10M inland), and an insured-asset book that constitutes realised loss experience in an active conflict.
Scale ~1From 3 yearsCoverage Financials
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FortuneGuard — An asset-level war-risk pricing and outcome dataset built as a byproduct of underwriting: 1,000+ assets quoted and 100+ assets insured for war/political-violence cover in Ukraine (roughly USD 2.5B of quotes and a USD 4B pipeline), each quote carrying asset type, sector, geolocated value, proximity-to-front-line distance, premium rate and structural layer, with the declined/quoted/bound outcome recorded (~one third of requests rejected). Supporting layers: an AI risk model trained on the Ukrainian government projectile/strike database plus open-source conflict data, live strike …
FortuneGuard offers (Alternative, Price, Geospatial, Supply Chain) — ~1,000+ priced asset records with outcomes (USD 2.5B+ quoted, USD 4B pipeline, ~USD 3B of requests analysed) plus the underlying multi-year national strike/projectile event record and a growing insured-asset book — order of tens of thousands of strike observations underpinning the model..
Calibrating war-risk and political-violence premium curves against realised quotes in an active conflict; conflict-zone asset pricing and proximity-to-front-line hazard modelling; reconstruction-investment and DFI/sovereign capital allocation decisions in Ukraine; Lloyd's and London-market capacity appetite analysis; training perils models on real strike-event-to-damage outcomes; screening insured-versus-declined selection to test adverse-selection assumptions; cargo war-risk pricing for Black Sea and inland Ukraine logistics.
The data is with 3 years of history.
Coverage spans UK, US, Other, Europe; Property & Casualty Insurance, Reinsurers; alternative, price, geospatial, supply_chain; equities, fixed_income, commodities, derivatives.
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