01 Index insurance
Price index insurance for Indian soybean and maize
Parametric price index insurance for soybean and maize markets in India.
A soybean underwriting framework adapted to maize with minimal rework.
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03 Selected projects
Risk and data
analysis in practice.
Seven projects in insurance, underwriting and commodity risk.
02 Underwriting
Underwriting beyond data enrichment and machine learning
Machine learning analysis for high-net-worth insurance underwriting, customer segmentation and retention.
Churn analysis identified the customer group most profitable for the company.
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03 Agricultural price risk
Index pricing in agricultural insurance
Time-series and machine learning methods for agricultural price risk and index insurance.
The mathematical back end of an insurtech platform for agricultural price risk.
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04 Commodity risk
Insurance for high-risk commodities
A feasibility study of shrimp-loss insurance using production data and model uncertainty.
Production data from 26 countries and regions, analysed under model uncertainty.
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05 Automated advisory
Automated advisory in car insurance
Unsupervised learning for ranking policyholders and supporting car-insurance advisory work.
A three-group ranking of policyholders built with unsupervised learning.
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06 Hedging
Petroleum products price hedging
An over-the-counter insurance agreement for vacuum resid price risk.
A priced agreement covering market, intrinsic price and exchange-rate risk.
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07 Catastrophic risk
Insurance for fish farms
Statistical modelling and Monte Carlo simulation of fish-stock losses.
Mortality modelled over 12 months, with Monte Carlo simulation of annual losses.
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