Description: Author discusses the treatment of current life insurance reserves under the tax code in determining a life insurer's taxable income, and what challenges are ahead in the era of principles-based reserves.

Description: Changes to AG 43 and what that might mean for tax purposes. Also, summary of IRS Notice 2016-63 (provides safe harbor tax guidance on use of 2017 CSO tables).

Description: Editorial that explores how underlying issues of the economic bubble were actuarial in nature.

Description: Analysis of the impact of projected multiemployer pension plan insolvencies over 20 years on affected participants and participating employers.

Description: ETFs have seen explosive growth in the past decade. Due to its flexibility and embedded risk management features, insurance companies and pension funds, are showing increasing interest in this asset class. This session covers an introduction to ETFs and the risk/rewards for insurance companies and pension funds as an additional asset class.

Description: In this session, senior pension and insurance investment professionals will share their thoughts on current investment topics. Attendees will hear about leading edge investment ideas and practices from industry leaders.

Description: This paper examines some new Bayesian models for loss reserving inspired by a consideration of some of the methods and techniques appearing in the traditional chain ladder literature. This includes a possibly order restricted hierarchical Bayesian model for the year over year development factors. The issues of reserve variability and ranges of reasonable reserve estimates are considered. A new Bornhuetter-Ferguson styled Bayesian method of estimate revision is also discussed. These Bayesian models can be implemented using Markov chain Monte Carlo MCMC methods in a variety of programming languages, and can serve as starting points for more advanced models. This paper describes their implementation in WinBUGS a specialized software program for MCMC simulations. Illustrative WinBUGS code is included.

Description: We consider a class of compound renewal risk process with claim waiting times have a discrete Km distribution. The classical compound binomial risk model is a special case when m = 1. Both recursive and explicit formulas are derived for the expected discounted penalty function due at ruin, for the surplus before ruin and the deficit at ruin. Many ruin related quantities can be analyzed through the penalty function, e.g., ruin probability, the p.g.f. of the time of ruin, joint and marginal distributions of the surplus before ruin and the deficit at ruin, claim causing ruin, as well as their moments. Detailed discussions are given in two special cases: claim sizes are rationally distributed, or the claim sizes distribution have a finite support.

Description: This paper discusses the binominal financial and insurance models. In addition, the paper expands the discussion to the martingale probabilities measures for insurances, annuities, endowment insurances, and equity-linked products.