Description: This is a nested stochastic modeling for insurance companies research report that's sponsored by the Financial Reporting and Modeling Sections and Committee on Life Insurance Research. Stochastic modeling is commonly used by financial reporting actuaries whenever financial reporting procedures such as reserving and capital requirement calculation, are performed under various economic scenarios, which are stochastically determined.

Description: From a session at the Health/Pension Spring Meeting held in New Orleans, Louisiana June 15-17, 2005 Panelists discussed some of the research behind understanding decision-making and how this type of research can be used to enhance the modeling of consumer choice. Discussion of the field of behavioral economics and its potential application in improving assumptions for modeling health care purchasing.

Description: Survey of Section Members Provides Input on Newsletter — Method of Distribution Tops List of Comments by Thomas Nace from The Financial Reporter, March 2001, Issue No. 45.

Description: This panel discussion is from the 1991 Meeting of the Society of Actuaries, held May 16-17 in New York. The panelists start their discussion with an overview of the history of actuarial standards, and the operations of the Actuarial Standards Board, ‘ASB,” the autonomous body responsible for setting standards of practice. The discussion covers standards affecting insurance company actuaries and consultants, and the value and impact of standards on the actuary's work. Panelists also suggest areas where additional standards are needed. Discussion from participants is included. From the Record of Society of Actuaries, Volume 17, No. 2.

Description: The author provides highlights from a March 2012 seminar on longevity risk sponsored by the Actuarial Society of New York (ASNY).

Description: In this Chapter we present a novel way for estimating aggregated EC figures based on Bayesian copula estimation. Contrary to the classic approach of using a single inter-risk- correlation matrix we derive a probability distribution of possible correlation matrices that enables us to tackle the important issue of parameter uncertainty. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: Abstract: This paper provides background on the characteristics of the upper-truncated Pareto distribution and suggests some diagnostics, based on order statistics, to assist in selecting the upper truncation point, which affects the tail of the distribution in a risk model.

Description: Chapter 5 reviews the investment plans of four Florida, Louisiana, Minnesota, and California public employee systems concentrating on three main topics: general summary of fund and portfolio characteristics, comparisons of target asset allocations policies, and reviews of investment policies. From A Study of Public Employees Retirement Systems, M-RS96-1.

Description: Chapter 6 summarizes the findings for key actuarial assumptions in each of the following categories: active mortality, disablement rates, withdrawal rates, retirement rates, retiree mortality, disabled mortality, interest rates, salary scales, actuarial cost methods, ans asset valuation methods. From A Study of Public Employees Retirement Systems, M-RS96-1.