组合随机波动模型下dc -养老基金的最优投资策略

Onwukwe Ijioma
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引用次数: 0

摘要

本文采用固定收益递减条件下的联合hhhw模型,研究了随机波动模型下养老金的最优投资策略。养老基金经理(PFM)的目标是在恒定相对风险厌恶(CRRA)条件下,在完全市场环境下财富的预期终端效用最大化。PFM的目标是维持参与者退休后的生活水平。推导了与控制问题相关的HJB方程,并利用随机动态规划原理(SDPP)建立了接近形式解。结果表明,最优投资策略和最优收益支付策略随着时间的推移具有独特的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Investment Strategies for DC-Pension Fund under Combined Stochastic Volatility Models
We investigate the optimal investment strategies of DC pension under stochastic volatility model using combined Heston-Hull-White (HHW) model with a constant income drawdown. The pension fund manager (PFM) aims to maximize the expected terminal utility of wealth in a complete market setting under constant relative risk aversion (CRRA). The goal of the PFM is to maintain the standard of living of the participants after retirement. We derive the HJB equation associated with the control problem and finally established the close form solution using stochastic dynamic programming principle (SDPP). The results show that the optimal investment and benefit payment strategies converge uniquely with time.
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