Optimal Dynamic Asset Allocation for DC Plan Accumulation/Decumulation: Ambition-CVAR

P. Forsyth
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引用次数: 8

Abstract

Abstract We consider the late accumulation stage, followed by the full decumulation stage, of an investor in a defined contribution (DC) pension plan. The investor’s portfolio consists of a stock index and a bond index. As a measure of risk, we use conditional value at risk (CVAR) at the end of the decumulation stage. This is a measure of the risk of depleting the DC plan, which is primarily driven by sequence of return risk and asset allocation during the decumulation stage. As a measure of reward, we use Ambition, which we define to be the probability that the terminal wealth exceeds a specified level. We develop a method for computing the optimal dynamic asset allocation strategy which generates points on the efficient Ambition-CVAR frontier. By examining the Ambition-CVAR efficient frontier, we can determine points that are Median-CVAR optimal. We carry out numerical tests comparing the Median-CVAR optimal strategy to a benchmark constant proportion strategy. For a fixed median value (from the benchmark strategy) we find that the optimal Median-CVAR control significantly improves the CVAR. In addition, the median allocation to stocks at retirement is considerably smaller than the benchmark allocation to stocks.
DC计划累积/递减的最优动态资产配置:野心- cvar
摘要本文考虑了设定缴款(DC)养老金计划中投资者的后期积累阶段,随后是完全累积阶段。投资者的投资组合包括股票指数和债券指数。作为风险的度量,我们使用条件风险值(CVAR)在减积累阶段结束。这是消耗DC计划的风险度量,主要由递减阶段的回报风险序列和资产配置驱动。作为奖励的衡量标准,我们使用野心,我们将其定义为最终财富超过指定水平的概率。我们提出了一种计算最优动态资产配置策略的方法,该策略在有效的野心- cvar边界上产生点。通过检查野心- cvar有效边界,我们可以确定中值- cvar最优的点。我们进行了数值测试,比较了中值- cvar最优策略和基准恒比例策略。对于固定中值(来自基准策略),我们发现最优中值-CVAR控制显著提高了CVAR。此外,退休时股票配置的中位数远小于基准配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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