固定收益养老金计划中LQ45最优股票配置与正常供款

Mazaya Sharhana Marsya, T. Handhika
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引用次数: 0

摘要

基于股票收益和动态死亡率,本研究旨在确定设定受益养老金计划中最优股票配置和正常缴费模型,使基金变动最小化。在本研究中,资产被配置到股票市场,因为股票市场的投资会增加资金的变化,从而导致资金减少的高风险,以及向参与者支付养老金的资金不足。本文所采用的优化模型是一个目标函数为二次函数的模型。本研究使用的库存为SMRA、PWON、GGRM、INTP、UNTR、UNVR、BBTN、PTBA、SCMA和ANTM,死亡率采用2008 - 2015年52 - 60岁女性公务员概率死亡数据。通过优化模型,SMRA的比例为6.59%,PWON为19.42%,GGRM为3.54%,INTP为7.32%,UNTR为8.03%,UNVR为18.87%,BBTN为16.71%,PTBA为6.51%,SCMA为9.07%,ANTM为3.94%,正常贡献为Rp 20976,310。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal LQ45 Stock Allocation and Normal Contribution in a Defined Benefit Pension Plan
This study aims to determine the model for optimal stocks allocation and normal contribution that can minimize the funding variation based on stocks returns and dynamic mortality rates in a Defined Benefit Pension Plan. In this study, assets are allocated to the stock market, as investments in the stock market can increase funding variation that lead to high risk of decreasing funds as well as lack of funds in paying Pension Benefits to participants. The optimization model used in this study is a model which the objective function is a quadratic function. The stocks used in this study were SMRA, PWON, GGRM, INTP, UNTR, UNVR, BBTN, PTBA, SCMA and ANTM, in addition to mortality rates using probability death data of female civil servants with age ranges from age 52 to 60 in 2008 to 2015. By using the optimization model, the proportion of SMRA is 6.59%, PWON is 19.42%, GGRM is 3.54%, INTP is 7.32%, UNTR is 8.03%, UNVR is 18.87%, BBTN is 16.71%, PTBA is 6.51%, SCMA is 9.07%, and ANTM is 3.94% and also normal contribution is Rp 20,976,310.
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