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OPTIMAL MIX BETWEEN PAY AS YOU GO AND FUNDING FOR PENSION LIABILITIES IN A STOCHASTIC FRAMEWORK

机译:当您在随机框架中的养老金负债之间提供优化的薪酬和资助

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摘要

This paper addresses the financing of public pensions in a stochastic environment. Traditionally, funded and unfunded pension schemes have been viewed as opposite solutions for the first pillar of public pensions. However, more recently countries as Sweden and Poland have explored mixed solutions that combine pay-as-you-go (PAYG) with funding mechanisms. The aims of this paper are to examine the rationality of such a combination using portfolio theory arguments and to find the optimal split of the contributions between the two systems. We first introduce the classical deterministic model leading to the well-known Samuelson–Aaron rule according to which diversification is never optimal. We then introduce different stochastic models in which the main processes (wage growth, population growth, financial rate of return) are random. In particular, we obtain conditions on parameters to justify diversification and explicit optimal sharing between PAYG and funding. We also introduce the possibility of investing in several financial assets and explore the impact of introducing systematic longevity risk.
机译:本文针对公共养老金的随机环境融资。传统上,资助和资金没有着落的养老金计划已经被看作是公共养老金的第一支柱相反的解决方案。然而,最近的国家瑞典和波兰已经探索混合解决方案,结合薪酬为你去(PAYG)与筹资机制。本文的目的是运用投资组合理论论据来检查这样的组合的合理性和找到的两个系统之间的贡献的最佳分裂。我们首先介绍了经典的确定性模型,根据其多样化是从来最佳通往著名的萨缪尔 - 阿伦规则。然后,我们推出不同的随机模型,其中主要工序(工资增长,人口增长,回报率财务)是随机的。特别是,我们获得的参数条件,现收现付和资金之间的辩解多样化和明确的优化共享。我们还介绍了几个金融资产投资的可能性,探索引进系统性长寿风险的影响。

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