Despite the seeming power of survival analysis over popular binary models in insurance
attrition analysis, its consideration is now growing in the literature. Besides, studies have …

Despite the high importance of grouping in practice, there exists little research on the
respective topic. The present work presents a framework for grouping and a novel method to …

We investigate the drivers of lapses in life insurance contracts of a large Italian insurance
company. We consider both traditional (with profit or participating) and unit-linked policies …

A retention strategy based on an enlightened lapse model is a powerful profitability lever for
a life insurer. Some machine learning models are excellent at predicting lapse, but from the …

Surrender poses one of the major risks to life insurance and a sound modeling of its true
probability has direct implication on the risk capital demanded by the Solvency II directive …

We propose a model for risk adjustment, in the context of IFRS 17, for surrender risk.
Surrender rates are assumed to follow a stochastic process, underpinned by data. The …

In the non-life insurance industry, pricing is often done relative to individual criteria of
policyholders. Various classification algorithms are in use to categorize policyholders into …

Lapse risk is a key risk driver for life and pensions business with a material impact on the
cash flow profile and the profitability. The application of data science methods can replace …

We develop a regression model for the analysis of competing risk events. The joint
distribution of the time to these events is flexibly characterized by a random effect which …

Despite the seeming power of survival analysis over popular binary models in insurance
attrition analysis, its consideration is now growing in the literature. Besides, studies have …