养老基金的负债驱动投资:具有实物资产的随机优化

Chul Jang, A. Clare, Iqbal Owadally
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引用次数: 0

摘要

利用多阶段随机规划方法,提出了包含实物资产的封闭式固定收益养老基金的最优负债驱动投资策略。目标是共同优化出资、融资比例和收购成本,并根据相对于负债的预期资产缺口来约束下行风险。在10年的规划期内,关键利率期限匹配债券组合的最优LDI策略优于期限-凸度匹配债券组合的相应策略以及总债券指数跟踪投资组合的策略。当引入实物资产时,最优LDI策略包括对基础设施和房地产的大量投资,尽管流动性不足。然而,流动性不足导致的实物资产出售延迟可能会增加下行风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Liability-Driven Investment for Pension Funds: Stochastic Optimization with Real Assets
Using a multi-stage stochastic programming method, we suggest an optimal liability-driven investment(LDI) strategy for a closed defined-benefit pension fund including real assets. The objective is to jointly optimize contribution, funding ratio, and buyout cost, subject to a constraint on downside risk in terms of expected shortfall of assets relative to liabilities. Over a 10-year planning horizon, the optimal LDI strategy with a key-rate duration-matching bond portfolio outperforms the corresponding strategy with a duration-convexity matching bond portfolio as well as a strategy with an aggregate bond index-tracking portfolio. When real assets are introduced, the optimal LDI strategy includes significant investment in infrastructure and real estate, illiquidity notwithstanding. Nevertheless, delays in sales of real assets induced by illiquidity can increase downside risk.
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