Descripció del projecte
The aim of this project is to deep into actual predictive techniques used in GCO to derive assumptions for valuing life and health insurance policies and to propose alternative techniques applicable for similar purposes.
Advanced modelling techniques should deserve special attention, mainly in deriving future lapse, disability and mortality rates. Quantifying uncertainty related to each estimation is something also looked for. Cross-wise models (usable either for pricing, valuing or decision-making) are target models of this research project.
Assessing how to implement dynamic policyholder’s behaviour models in GCO’s internal valuation tools is the last but not the least goal of this project.
Good programming, statistical and mathematical skills are indispensable.
