A connection between supermodular ordering and positive/negative association
Journal of Multivariate Analysis
Optimal approximations for risk measures of sums of lognormals based on conditional expectations
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
In the Lee-Carter framework, future survival probabilities are random variables with an intricate distribution function. In large homogeneous portfolios of life annuities, value-at-risk or conditional tail expectation of the total yearly payout of the company are approximately equal to the corresponding quantities involving random survival probabilities. This paper aims to derive some bounds in the increasing convex (or stop-loss) sense on these random survival probabilities. These bounds are obtained with the help of comonotonic upper and lower bounds on sums of correlated random variables.