Description: This is the abstract for the research paper on a hierarchial model for micro-level stochastic loss.

Description: This summary is intended to provide the pension actuary with guidance in interpreting and using the termination and retirement information in the 2003 SOA Pension Plan Termination and Retirement Study. The tables in the study were developed based on 1.7 million life years of data from 112 plans collected primarily from actuarial consulting firms for the period 1995 – 2000.

Description: The insurance industry is known to have high operating expenses in the financial services sector. Insurers, investors and regulators are interested in models to understand the behavior of expenses. However, the current practice ignores skewness, occasional negative values as well as their temporal dependence. Addressing these three features, this presentation develops a longitudinal model of insurance company expenses that can be used for prediction, to identify unusual behavior, and to measure firm efficiency. Specifically, it uses a three parameter asymmetric Laplace density for the marginal distribution of insurers’ expenses in each year. Copula functions are employed to accommodate their temporal dependence. As a function of explanatory variables, the location parameter allows the presenters to analyze an insurer’s expenses in light of the firm’s characteristics. Their model can be interpreted as a longitudinal quantile regression.

Description: Data files for presentation.

Description: Actuaries, like other business professionals, communicate quantitative ideas graphically. Because the process of reading, or decoding, graphs is more complex than reading text, graphs are vulnerable to many sources of abuse. This is the abstract of a paper that will help creators design more effective graphs and will help viewers recognize misleading graphs. The paper summarizes guidelines for designing graphs that show important numerical information and gives examples of commonly encountered graphs that mislead and hide information. The complete paper appears in the April 1998 issue of the North American Actuarial Journal. From Actuarial Research Clearing House 1998 Vol. 1.

Description: This Excel workbook contains the complete set of tables developed from the Society of Actuaries 2003 Pension Plan Termination and Retirement Study. Separate tabs are included for the Basic Age Table, Basic Service Table, Select & Ultimate Table, Small Plan Age Table, and Small Plan Service Table.

Description: The purpose of this paper is to understand characteristics of a household that drive life insurance demand with more sophisticated analytical techniques. The analysis is based on the Survey of Consumer Finances data, a probability sample of the U.S. population. Household demand of two types of insurance, term life insurance and whole life insurance, is examined jointly. We model both the frequency and the severity of demand for insurance building on the work of Lin and Grace 2007 by using covariates that they developed.

Description: This Excel workbook contains the complete set of tables developed from the Society of Actuaries 2003 Pension Plan Termination and Retirement Study. Separate tabs are included for the Basic Age Table, Basic Service Table, Select & Ultimate Table, Small Plan Age Table, and Small Plan Service Table.

Description: Abstract for a paper that develops links between credibility theory in actuarial science and longitudinal data models in statistics. The paper demonstrates that many additive credibility models can be expressed as special cases of the longitudinal data model.

Description: Summary of the SOA's Annuity Valuation with Dependent Mortality research report which examines the standard industry practice of assuming independent lives for insurance products that cover multiple lives.