摘要
DC型养老金积累期长达数十年,如何通过合理的资产配置,实现资金的有效增值是重要的问题。本文建立了DC型养老金个人账户积累额变动的连续时间随机模型,该模型综合考虑了投资收益、缴费效应和生存者利益对积累额的影响。同时,积累期结束时积累额能够满足养老金给付接近目标替代率被选取为优化目标。利用HJB变分方法等随机控制的方法与理论,得到了积累期最优资产配置策略的解析解。利用Monte Carlo模拟方法证明,积累期缴费率对在风险资产的配置比例有负向影响;目标替代率、人口老龄化程度以及对正向偏差的偏好程度对风险资产的配置比例有正向影响。
The accumulation phase of the Defined Contribution pension plan lasts for decades. How to choose appropriate asset allocation strategies to increase the accumulation effectively is an important issue. In this paper, we established the continuous time stochastic model of the dynamics of the accumulation of individual account. The investment return, contribution effect and the mortality credit were all considered in the model. Minimization of the actual and expected accumulation with target wage substitution rate was considered the optimal objective. Using HJB variational methods,the closed forms of the optimal allocation policies were established. Furthermore,we used Monte Carlo methods to prove that the contribution rate and the proportion allocated to the risk assets had negative correlations, while the target substitutionrate, the severity of the aging problem and the preference of positive deviation were positively correlated with the proportion allocated to the risk assets.
出处
《保险研究》
CSSCI
北大核心
2016年第6期102-111,共10页
Insurance Studies
基金
国家自然科学基金青年项目"DC型养老金最优资产配置与给付方案问题研究"(课题编号:71501178)
国家自然科学基金面上项目"保险中两类随机最优控制问题及策略过程概率分布研究"(课题编号:11471183)
关键词
DC型养老金
最优资产配置
目标替代率
人口老龄化
随机最优控制
DC pension plan
optimal asset allocation
target wage substitution rate
aging problem
stochastic optimal control
