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Published in: Decisions in Economics and Finance 1/2021

16-04-2020

An application of Sigmoid and Double-Sigmoid functions for dynamic policyholder behaviour

Authors: Fabio Baione, Davide Biancalana, Paolo De Angelis

Published in: Decisions in Economics and Finance | Issue 1/2021

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Abstract

The growing relevance of risk-based valuations of insurance contracts has stimulated the extension of the traditional deterministic lapse rate models towards a dynamic modelling. A popular dynamic model uses deterministic lapse rates as base rates and dynamic adjustment factors, generally assuming a relationship between lapses and one or more economic factors to describe policyholder behaviour. This relationship is generally represented by an S-Shaped function. This implies a monotonic increase in lapse rate by increasing the economic variable, usually set equal to a “market spread” between a benchmark rate and the policy crediting rate. In this paper, we assume a different policyholder behaviour, based on the assumption that the policyholder does not modify his/her behaviour for small values of the market spread. Hence, for a better description of such behaviour, the double-sigmoid function appears to be more adequate. The double-sigmoid function is obtained as a combination of two logits in their sum or product. Theoretical features and practical applications of the model are discussed.
Footnotes
1
Article 26 Solvency II Delegated Acts (EIOPA 2014) explicitly requires “When determining the likelihood that policyholders will exercise contractual options, including lapses and surrenders, insurance and reinsurance undertakings shall conduct an analysis of past policyholder behaviour and a prospective assessment of expected policyholder behaviour”. In a similar manner, but less explicitly, IFRS 17 Insurance contracts (IFRS 2017), Appendix B point 62 points out that the measurement of a group of insurance contracts shall reflect, on an expected value basis, the entity’s current estimate of how the policyholders in the group will exercise the options available and how the actual behaviour of the policyholders may differ from the expected behaviour.
 
2
Given a dependent variable y and its estimate \({\hat{y}}\), NSE can be defined as: \(\hbox {NSE}=1- \frac{\sum (y - {\hat{y}})^2 }{\sum (y -E(y))^2}\).
 
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Metadata
Title
An application of Sigmoid and Double-Sigmoid functions for dynamic policyholder behaviour
Authors
Fabio Baione
Davide Biancalana
Paolo De Angelis
Publication date
16-04-2020
Publisher
Springer International Publishing
Published in
Decisions in Economics and Finance / Issue 1/2021
Print ISSN: 1593-8883
Electronic ISSN: 1129-6569
DOI
https://doi.org/10.1007/s10203-020-00279-7

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