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This paper presents how the IT and actuarial science have evolved in parallel since antiquity, and how the recent speed up of IT evolution could revolution actuarial science: is it today easier for an actuary to pick up machine learning than it is for a d
Calibration of Economic Scenarios Generators: Key Challenges Speakers:Alexandre Boumezoued, Pierre-Edouard Arrouy, Paul Bonnefoy The context of a prolonged decline in interest rates has led most life insurers to make profound changes, particularly with re
Stochastic Cash Flow Models are at the heart of internal models for life insurance. They are used to project the payments to policy holders and future profits of the shareholders over the full duration of the contracts. However, the interactions of capita
How can the Life & Health reinsurance market respond to the primary industry challenges? Low interest rates: can reinsurance meet historically unmet needs? How to use reinsurance capital and shift to capital-lighter business?
Approximate Bayesian Computation (ABC) is a statistical learning technique to select and calibrate models in an automated fashion using the data at hand. It consists in simulating synthetic data from the potential models and assessing the distance between
The problematic of quality is intrinsic to all data analyst. Actuaries like other professions has been dealing with completeness, uncertainty or imprecision through the evolution of insurance. Nowadays, the insurance underwriting is being challenged and i