Life insurers fall in behind predictive modeling

The use of predictive modelling techniques to refine the pricing of insurance risks has been standard practice in the P&C insurance sector for many years. However, life organisations have traditionally used simple one-way techniques and so, for many life insurance providers, predictive modelling techniques represent a new era of modelling. The aim of a predictive model is to derive a meaningful relationship between the modelled event (for instance, death or surrender) and various explanatory factors (for example, age, policy duration, or postcode group).

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A rise in demand for specialty insurance products

According to figures from the European Commission, 99% of the six million plus insurable enterprises in Europe are considered SMEs, and the market offers plenty of opportunity for those firms seeking to take advantage of the growth-strapped P&C sector. This opportunity is all the more appealing when you consider that the market is scalable, despite its relatively low insurance saturation, and as such has the potential to be highly profitable.

Volatility will be a primary focus for investors

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