Abstract
AbstractThe Covid-19 pandemic caused an alarming mortality stress. The evidence shows that a significant proportion of people who die from Covid-19 are in a frail state. According to this consideration, we assume that the mortality shocks are related to a group of the individuals with some co-morbidities at Covid-19 diagnosis. In other words, the mortality shocks present a specific characterisation, which consists of a causal connection with pre-existing conditions, and the phenomenon could be described as a mortality acceleration. In this paper, an Accelerated Mortality Model is proposed in order to capture the different effects on mortality that depend on the evolution of the pandemic and the presence of co-morbidities at diagnosis. Furthermore, we assess the impact of Covid-19 mortality acceleration on a set of traditional life insurance contracts. We observe that, although mortality acceleration by Covid-19 affects more markedly the elderly and unhealthy sub-populations, it could be considered as a temporary shock with a limited impact on the life insurance market.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability
Reference38 articles.
1. American Academy of Actuaries . (2020). Impact of COVID-19 on Pension Plan Actuarial Experience and Assumptions, Including Mortality. Available online at the address https://www.actuary.org/node/13887.
2. The Impact of COVID-19 on Future Higher-Age Mortality
3. De-risking strategy: longevity spread buy-in2;D’Amato;Insurance: Mathematics and Economics,2018
4. The Stratified Sampling Bootstrap for Measuring the Uncertainty in Mortality Forecasts
5. Time Series Models Based on Growth Curves with Applications to Forecasting Coronavirus
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献