Spatial analysis ranges from simple univariate descriptive statistics to complex multivariate
analyses and is typically used to investigate spatial patterns or to identify spatially linked …

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 …

Modeling policyholders' lapse behaviors is important to a life insurer, since lapses affect
pricing, reserving, profitability, liquidity, risk management, and the solvency of the insurer. In …

In this paper, we focus our attention on the most relevant non-market risk in insurance, that
is, lapse risk. It is basically linked to the behavior of policyholders facing various situations …

With the largest data set ever used for this purpose (covering more than 1 million contracts),
we analyze the impact of product and policyholder characteristics on lapse in the life …

This article focuses on business risk management in the insurance industry. A methodology
for estimating the profit loss caused by each customer in the portfolio due to policy …

Abstract We use the Random Forest methodology to predict the lapse decision of life
insurance contracts by policyholders. The methodology outperforms the logistic model, even …

Customer attrition is an increasingly pressing issue faced by many insurance providers
today. Retaining customers who purchase life insurance policies is an even bigger …

We investigate determinants of lapse rates in the Chinese life insurance industry using firm-
province level data from 2005 to 2013. We conduct a panel study, exploring significant …

Adverse selection (AS) is one of the significant causes of market failure worldwide. Analysis
and deep insights into the Australian life insurance market show the existence of adverse …