AffineMortality: An R package for estimation, analysis, and projection of affine mortality models

被引:0
|
作者
Ungolo, Francesco [1 ,2 ,3 ]
Garces, Len Patrick Dominic M. [2 ,4 ]
Sherris, Michael [1 ,2 ]
Zhou, Yuxin [1 ,2 ]
机构
[1] Univ New South Wales, Sch Risk & Actuarial Studies, Kensington, NSW, Australia
[2] Univ New South Wales, ARC Ctr Excellence Populat Ageing Res, Kensington, NSW, Australia
[3] Tech Univ Munich, Garching, Germany
[4] Univ Technol Sydney, Sch Math & Phys Sci, Ultimo, NSW, Australia
基金
澳大利亚研究理事会;
关键词
Longevity risk; Kalman filter; State-space models; Affine mortality; TERM STRUCTURE; STOCHASTIC MORTALITY; LIFE-INSURANCE; SURFACE;
D O I
10.1017/S1748499524000149
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper presents the AffineMortality R package which performs parameter estimation, goodness-of-fit analysis, simulation, and projection of future mortality rates for a set of affine mortality models for use in pricing and reserving. The computational routines build on the univariate Kalman Filtering approach of Koopman and Durbin ((2000). Journal of Time Series Analysis, 21(3), 281-296.) along other numerical methods to enhance the robustness of the results. This paper provides a discussion of how the package works in order to effectively estimate and project survival curves, and describes the available functions. Illustration of the package for mortality analysis of the US male data set is provided.
引用
收藏
页数:26
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