Description: Reviews basic desirable features in an economic scenario generator. Discusses basics of model structure and validation process

Description: Recaps the evolution of VA products and hedging programs. Reflects on strategic considerations that contributed to relative performance in this market.

Description: Discusses the current controversy with the NAIC over Small Face Amount Policies, SFAPs.

Description: The decrease in interest rates over the last several years has led to decreases in the maximum valuation rate and maximum nonforfeiture interest rate, and companies need to prepare for these changes.

Description: Written from a regulatory perspective, the article covers the purpose of regulation and some regulatory expectations. The topics include the appointed actuary's involvement in corporate governance, reasonability of results when compared to prior results, data quality, familiarity with the company's annual statement and applicable statutes, and areas where appointed actuaries can add value though services provided to smaller life insurance companies.

Description: Introducing the Respresentative Scenarios Method, the Motivation and Goals, how the methodology works, and what key information can be derived.

Description: This paper develops credibility using a longitudinal data framework. In a longitudinal data framework, one might encounter data from a cross-section of risk classes towns with a history of insurance claims available for each risk class. For the marginal claims distributions, we use generalized linear models, an extension of linear regression that also encompasses Weibull and Gamma regressions. Copulas are used to model the dependencies over time specifically, this paper is the first to propose using a t-copula in the context of generalized linear models. The t-copula is the copula associated with the multivariate t-distribution like univariate t-distributions, it seems especially suitable for empirical work. Moreover, we show that the t-copula gives rise to easily computable predictive distributions that we use to generate credibility predictors. Like Bayesian methods, our copula credibility prediction methods allow us to provide an entire distribution of predicted claims, not just a point prediction.

Description: Presentation on estimating rates of early-onset Alzheimer's Disease. This document contains incident rates, critical illnese insurance information, adverse selection, and more.

Description: This is a stochastic model used to find the distribution of the discounted value of all future cash-flows.

Description: The Retirement Plans Experience Committee (RPEC) hired Ernst & Young to perform a literature review and assessment of mortality improvement rates in the United States population.