The implied longevity curve: How long does the market think you are going to live?

Moshe Milevsky, Thomas S. Salisbury and Alexander Chigodaev

Papers from arXiv.org

Abstract: We use life annuity prices to extract information about human longevity using a framework that links the term structure of mortality and interest rates. We invert the model and perform nonlinear least squares to obtain implied longevity forecasts. Methodologically, we assume a Cox-Ingersoll-Ross (CIR) model for the underlying yield curve, and for mortality, a Gompertz-Makeham (GM) law that varies with the year of annuity purchase. Our main result is that over the last decade markets implied an improvement in longevity of of 6-7 weeks per year for males and 1-3 weeks for females. In the year 2004 market prices implied a $40.1\%$ probability of survival to the age 90 for a 75-year old male ($51.2\%$ for a female) annuitant. By the year 2013 the implied survival probability had increased to $46.1\%$ (and $53.1\%$). The corresponding implied life expectancy has increased (at the age of 75) from 13.09 years for males (15.08 years for females) to 14.28 years (and 15.61 years.) Although these values are implied directly from markets, they are consistent with demographic projections. Similar to implied volatility in option pricing, we believe that our implied survival probabilities (ISP) and implied life expectancy (ILE) are relevant for the financial management of assets post-retirement and very important for the optimal timing and allocation to annuities; procrastinators are swimming against an uncertain but rather strong longevity trend.

Date: 2018-11
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Published in J. Investment Consulting 17 (2016), 11-21

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1811.09932

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