Extended risk classification in insurance industry

Extended risk classification in insurance industry Recently extended risk classification has become an important issue in life insurance and annuity markets. Using various risk factors, one can construct various risk classes. This enables insurers to provide more equitable life insurance and annuity benefits for individuals in different risk classes and to manage mortality/longevity risk more efficiently. This article discusses the development of a mortality model that reflects the impact of various risk factors on mortality. The model uses Markov process combined with generalized linear models. The model is used to illustrate how the various risk factors influence actuarial present values of life insurance and annuity benefits. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Extended risk classification in insurance industry

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Publisher
Springer Netherlands
Copyright
Copyright © 2011 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-011-9596-9
Publisher site
See Article on Publisher Site

Abstract

Recently extended risk classification has become an important issue in life insurance and annuity markets. Using various risk factors, one can construct various risk classes. This enables insurers to provide more equitable life insurance and annuity benefits for individuals in different risk classes and to manage mortality/longevity risk more efficiently. This article discusses the development of a mortality model that reflects the impact of various risk factors on mortality. The model uses Markov process combined with generalized linear models. The model is used to illustrate how the various risk factors influence actuarial present values of life insurance and annuity benefits.

Journal

Quality & QuantitySpringer Journals

Published: Sep 20, 2011

References

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