Description: 1996 Valuation Actuary Symposium. In this teaching session on liability modeling, the panelists discussed the key aspects of identifying and gathering the data required to construct models, the model building process including objectives and considerations, and the modeling process from the standpoint of policyholder and company behaviors.

Description: 2003 Valuation Actuary Symposium, San Diego, CA. This session addressed the emerging practice where management is developing new ways to examine financial risks holistically in an integrated model.

Description: 1997 Valuation Actuary Symposium, Session 5 explores health cash-flow testing.

Description: This presentation is a Teaching Session, number 38TS, from the 1999 Valuation Actuary Symposium, held September 23-24 in Los Angeles. The instructors provide an introduction into how complex adaptive systems [CAS] can be applied to solve actuarial problems. They provide a general overview of CAS, including genetic algorithms, neural network, nonlinear modeling, and agent-based modeling, provide recent examples of applications to business problems, and discuss how CAS approaches can be used to address actuarial pricing and valuation issues, such as modeling customer behavior. Discussion from participants is included.

Description: This presentation is a panel discussion, session number 34PD, from the 2002 Valuation Actuary Symposium, held September 19-20 in Lake Buena Vista, FL. A fundamental step in stochastic asset/liability modeling is to choose an appropriate underlying economic scenario generator. In this session, panelists discuss various scenario generation techniques and theories, assumptions underlying interest and equity scenario generators, and choosing suitable economic scenario generators for different applications, the two most common being pricing models [for assets and liabilities], and risk analysis models, used for asset/liability management, investment strategy, regulatory solvency, and capital adequacy. Discussion from participants is included.

Description: This session discussion is about application of actuarial analysis and models to evaluate investment features. From Record of the Society of Actuaries Vol. 15, No. 1.

Description: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.

Description: The following topics were discussed at concurrent sessions: 1. Personal Security in the 1970's- United States and Canada, 2. Adjusted earnings for life companies, 3. Pension funding, 4. What about these younger actuaries?, 5. Sources of statistical information for actuaries, 6. Variable life insurance, 7. Models and decision techniques, and 8. Role of the actuary in expense control. From Transactions of Society of Actuaries 1970, Vol 22, Pt. 2, No. 63.

Description: 2003 Valuation Actuary Symposium, San Diego, CA. In this Teaching Session the instructor discussed the importance of making sure the correct inferences were drawn from stochastic testing exercises. Topics included: 1. Applying the assumption of a normal distribution. 2. Drawing inferences about, and creating confidence intervals around, a population mean. 3. Drawing inferences about, and creating confidence intervals around, tail percentiles. 4. Certifying anticipated mortality under XXX in a mathematically concise way.

Description: Panelists discuss the basics of modeling including: model point selection, appropriate model granularity, static and dynamic model validation, efficient model refresh processes, assumption development, and reconciliation to actual financials. Session 8TS of the 2005 Valuation Actuary Symposium.