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Modelling lifetime dependence for older ages using a multivariate Pareto distribution
Institution:1. UWA Business School, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia;2. Faculty of Business and Law, Edith Cowan University, 100 Joondalup Drive, Joondalup, WA, 6027, Australia;1. UQ Business School, Colin Clark Building, Blair Drive, University of Queensland, St Lucia, Queensland 4072, Australia;2. Standard Chartered Bank, 8 Marina Boulevard, Marina Bay Financial Centre Tower 1, 018981, Singapore
Abstract:The main driver of longevity risk is uncertainty in old-age mortality, especially surrounding potential dependence structures. We investigate a multivariate Pareto distribution that allows for the exploration of a variety of applications, from portfolios of standard annuities to joint-life annuity products for couples. Given the anticipated continued increase of supercentenarians, the heavy-tailed nature of the Pareto distribution is appropriate for this application. In past work, it has been shown that even a little dependence between lives can lead to much higher uncertainty. Therefore, the ability to assess and incorporate the appropriate dependence structure, whilst allowing for extreme observations, significantly improves the pricing and risk management of life-benefit products.
Keywords:Longevity risk  Lifetime dependence  Multivariate Pareto distribution  Quantiles  Fisher information  Bulk annuity pricing  Truncation
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