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Blue Marble (Blue Marble Microinsurance) — Calibrated index-to-loss relationship data from designed and underwritten parametric insurance programmes: the trigger indices themselves (rainfall, temperature, satellite vegetation/NDVI series) paired with the ground-verified loss outcomes those indices were calibrated against, plus realised payout records, threshold specifications and basis-risk measurements per programme. Coverage is concentrated in emerging-market agriculture where conventional loss statistics are thin or absent — the scarce asset is not the weather series (which is public) but …
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Calibrated index-to-loss relationship data from designed and underwritten parametric insurance programmes: the trigger indices themselves (rainfall, temperature, satellite vegetation/NDVI series) paired with the ground-verified loss outcomes those indices were calibrated against, plus realised payout records, threshold specifications and basis-risk measurements per programme. Coverage is concentrated in emerging-market agriculture where conventional loss statistics are thin or absent — the scarce asset is not the weather series (which is public) but the verified mapping from index value to realised loss, and the payout history that validates it.
From 15 yearsCoverage Financials · Information TechnologyAsset class Equities · Commodities · Derivatives
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Blue Marble (Blue Marble Microinsurance) — Calibrated index-to-loss relationship data from designed and underwritten parametric insurance programmes: the trigger indices themselves (rainfall, temperature, satellite vegetation/NDVI series) paired with the ground-verified loss outcomes those indices were calibrated against, plus realised payout records, threshold specifications and basis-risk measurements per programme. Coverage is concentrated in emerging-market agriculture where conventional loss statistics are thin or absent — the scarce asset is not the weather series (which is public) but …
Bluemarblemicro offers (Alternative, Geospatial, ESG, Fundamental) — Est. thousands to low tens of thousands of programme-season records (policies, triggers, payouts, verified losses), each joined to gridded weather and satellite index series that are themselves large but not proprietary. The proprietary slice — payout-plus-verified-loss pairs — is small in rows and high in value. Request programme count and seasons covered..
Parametric and index insurance product design and threshold calibration; basis-risk reduction research (the core unsolved problem in this line, and only observable where payouts and verified losses coexist); index insurance demand and uptake modelling; sovereign and development-agency disaster risk financing design; agricultural-lender portfolio risk models for emerging markets; climate-adaptation impact evaluation; validation of satellite vegetation indices against realised agricultural loss where no official statistics exist
The data is with 15 years of history.
Coverage spans UK, US; Reinsurance & Insurance, Data Processing & Outsourced Services; alternative, geospatial, ESG, fundamental; equities, commodities, derivatives.
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