How risky is your retirement income risk model?

Patrick J. Collins, Huy Lam, Josh Stampfli
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 Adequately sustaining lifetime income is a critical portfolio objective for retired investors. This article provides a brief review of various retirement income modeling approaches including historical back testing, Monte Carlo simulations, and other more advanced risk modeling techniques. Implau- sible assumptions underlying common risk models may mislead investors concerning the risk and return expectations of their retirement investment strategies. We compare risk models, evaluate their credibility, and demonstrate how an oversimplified model may distort the risks retired investors face. Differences in sustainability rates are stark: 4% failure at the low end versus 49% failure at the high end. The article ends with general comments regarding model risk and practitioner investment advice.
 
 
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Abstract

Adequately sustaining lifetime income is a critical portfolio objective for retired investors. This article provides a brief review of various retirement income modeling approaches including historical back testing, Monte Carlo simulations, and other more advanced risk modeling techniques. Implau- sible assumptions underlying common risk models may mislead investors concerning the risk and return expectations of their retirement investment strategies. We compare risk models, evaluate their credibility, and demonstrate how an oversimplified model may distort the risks retired investors face. Differences in sustainability rates are stark: 4% failure at the low end versus 49% failure at the high end. The article ends with general comments regarding model risk and practitioner investment advice.
你的退休收入风险模型风险有多大?
& # x0D;& # x0D;& # x0D;充分维持终身收入是退休投资者的关键投资目标。本文简要回顾了各种退休收入建模方法,包括历史回溯测试、蒙特卡罗模拟和其他更高级的风险建模技术。常见风险模型背后的难以理解的假设可能会误导投资者对其退休投资策略的风险和回报预期。我们比较了风险模型,评估了它们的可信度,并展示了过度简化的模型如何扭曲退休投资者面临的风险。可持续发展率的差异非常明显:低端失败率为4%,高端失败率为49%。文章最后对模型风险和从业者投资建议进行了一般性评论。 & # x0D;& # x0D;
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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