A Numerical Technique of Modelling Mortality Rate Intensity for Life Insurance Implementation

Numerical estimation technique of mortality intensities is integrated into actuarial modelling to ensure cost effective approximations and ascertain benchmarks against which accuracy of mortality table production is verified for applications in life insurance product development. However, some of the governing functional mortality laws analytically formulated as an integral part of underwriting process in life table constructions may not readily have closed form solutions because they are completely intractable. This accounts for why many extant actuarial literatures avoid investigating their asymptotic properties at extreme ages. In this study, the method of successive differencing was deployed to even out errors associated with source vital statistics in order to track the level of any momentous change. The objectives of this study are to produce the instantaneous mortality rate intensities using the Generalized Makeham’s mortality law, to confirm the age at which the probability of death will be 1 and to compute the curve of death. Computational evidence from our result shows that the probability of death for a life aged x approaches 1 at age 120 hence the model supports longevity up to 120 as the omega age. The mortality rate computed is based on the age attained by the insured such that the rate for any given policy at a defined age is independent of the year an insurance

Authors

Institutions

Publication Details

Journal
KEC Journal of Science and Engineering
Published
2025-05-07
DOI
https://doi.org/10.3126/kjse.v9i1.78339
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Numerical Technique of Modelling Mortality Rate Intensity for Life Insurance Implementation

Gbenga Michael Ogungbenle, Joshua Solomon Adeyele, Ukwu Chukwunenye, Wipuni.U Sirisena
KEC Journal of Science and Engineering
Insurance, Mortality, Demography, Risk Management
article

A Numerical Technique of Modelling Mortality Rate Intensity for Life Insurance Implementation

Gbenga Michael Ogungbenle, Joshua Solomon Adeyele, Ukwu Chukwunenye, Wipuni.U Sirisena
article en

Abstract

Numerical estimation technique of mortality intensities is integrated into actuarial modelling to ensure cost effective approximations and ascertain benchmarks against which accuracy of mortality table production is verified for applications in life insurance product development. However, some of the governing functional mortality laws analytically formulated as an integral part of underwriting process in life table constructions may not readily have closed form solutions because they are completely intractable. This accounts for why many extant actuarial literatures avoid investigating their asymptotic properties at extreme ages. In this study, the method of successive differencing was deployed to even out errors associated with source vital statistics in order to track the level of any momentous change. The objectives of this study are to produce the instantaneous mortality rate intensities using the Generalized Makeham’s mortality law, to confirm the age at which the probability of death will be 1 and to compute the curve of death. Computational evidence from our result shows that the probability of death for a life aged x approaches 1 at age 120 hence the model supports longevity up to 120 as the omega age. The mortality rate computed is based on the age attained by the insured such that the rate for any given policy at a defined age is independent of the year an insurance

KEC Journal of Science and EngineeringVol. 9(1)
University of Jos (NG)
Openalex Percentile: Top 84%
Insurance, Mortality, Demography, Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.