Macquarie University
Browse

On the use of multi-population mortality models for deprivation subgroups in a population

Download (12.88 MB)
thesis
posted on 2022-03-29, 01:04 authored by Kam Kuen Kenny Mok
Actuaries and demographers have shown a keen interest in the longevity improvement in the past decades since human longevity significantly affects society, especially influencing the creation of government policy for pensioners and life insurance products. Studies have shown that mortality rates have converged across populations, in which academics have been developing multi-population models to capture this phenomenon. Multi-population models can be used to assess longevity basis risk, which is the mismatch of the longevity outcome between two different populations. Longevity basis risk arises from hedging the sub-population using mortality hedging instruments based on the reference mortality rate. Good multi-population models are able to capture and reduce the basis risk along with hedging instrument. In this thesis, we study a variety of multi-population models from the literature. These models are fitted for the UK population data and the deprivation subgroups in England. Goodness-of-fit tests, and the examination of forecasting accuracy and hedging effectiveness are used to compare the multi-population models.

History

Table of Contents

1. Introduction -- 2. Literature Review -- 3. Data and methodology -- 4. Fitting results and performance -- 5. Model Projection -- 6. Concluding remarks

Notes

Theoretical thesis. Bibliography: pages 80-83

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Business and Economics, Department of Applied Finance and Actuarial Studies

Department, Centre or School

Department of Applied Finance and Actuarial Studies

Year of Award

2017

Principal Supervisor

Jackie Li

Rights

Copyright Kam Kuen Kenny Mok 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (96 pages)

Former Identifiers

mq:71208 http://hdl.handle.net/1959.14/1271966

Usage metrics

    Macquarie University Theses

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC