Description: This paper uses a hypothetical game to illustrate issues facing the life insurance industry, specifically distribution costs.

Description: We present a method to calculate the percentile of the distribution of the present value of the death benefit for a continuous deferred whole life Insurance.

Description: The analytical laws of mortality such as Gompertz and Makeham are often used by actuaries to describe the survival distributions. Numerical approaches to evaluate features such as mean and variance of these distributions may be very difficult not to mention the characteristics of their life contingent functions.

Description: The problem of estimation of a tabular survival model from complete samples is considered from a Bayesian approach. If a life test involves a large cohort group, then data is typically given as a grouped data set. The survival function St is usually estimated by the moment estimator. We approximate the joint prior distribution of the unknown unconditional failure probabilities by a Dirichlet distribution, and then use a linear relationship between St and the conditional survival probabilities to obtain a Bayes estimator of St.

Description: Mr. Robert L. Brown's response to previously published solutions 14.6 and 15.3 of the New Life Contingencies. Also mentioned is the new Canadian reserve standard.

Description: This presentation focuses on IBNR in life settlements.

Description: This is the abstract for a paper of Immunization Measures for Life Contingencies.

Description: Deferred term, pure endowment and endowment life contingency functions and their derivatives are discussed in general and some familiar formulas are derived in particular.