科研成果详情

题名Using a stochastic economic scenario generator to analyse uncertain superannuation and retirement outcomes
作者
发表日期2021-11-10
会议录名称Annals of Actuarial Science
ISSN1748-4995
卷号15
期号3
页码549-566
摘要The retirement systems in many developed countries have been increasingly moving from defined benefit towards defined contribution system. In defined contribution systems, financial and longevity risks are shifted from pension providers to retirees. In this paper, we use a probabilistic approach to analyse the uncertainty associated with superannuation accumulation and decumulation. We apply an economic scenario generator called the Simulation of Uncertainty for Pension Analysis (SUPA) model to project uncertain future financial and economic variables. This multi-factor stochastic investment model, based on the Monte Carlo method, allows us to obtain the probability distribution of possible outcomes regarding the superannuation accumulation and decumulation phases, such as relevant percentiles. We present two examples to demonstrate the implementation of the SUPA model for the uncertainties during both phases under the current superannuation and Age Pension policy, and test two superannuation policy reforms suggested by the Grattan Institute.
关键词Age Pension Economic scenarios generator Monte Carlo simulation Retirement income Superannuation
DOI10.1017/S1748499520000305
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语种英语English
Scopus入藏号2-s2.0-85095323623
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被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/12712
专题个人在本单位外知识产出
通讯作者Chen,Wen
作者单位
1.RiskLab,Data61,The Commonwealth Scientific Industrial and Research Organisation (CSIRO),Australia
2.Department of Econometrics and Business Statistics,Monash University,Melbourne,3800,Australia
推荐引用方式
GB/T 7714
Chen,Wen,Koo,Bonsoo,Wang,Yunxiaoet al. Using a stochastic economic scenario generator to analyse uncertain superannuation and retirement outcomes[C], 2021: 549-566.
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