posted on 2022-03-29, 01:04authored byKam 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