Description: This session 5TS of the 2004 Valuation Actuary Symposium covers the need to model assets in insurance companies has gone well beyond compliance with cash-flow testing requirements. Robust asset modeling techniques are needed in order to quantify risk exposures appropriately and to comply with a widening array of liability valuation and capital adequacy calculations that rely on stochastically modeling the interaction of liabilities and the assets that support them.

Description: The discount rate is one of the most critical topics in IFRS 17 and may have important repercussions on product profitability. The presenters will cover practical implementation considerations, including alternative approaches to illiquidity premium calculation for business supported by fixed assets with credit risks. Other implementation considerations will also be covered, including granularity of setting the discount rate, application to new business, and implications on asset and liability modeling. The presenters will then discuss how discount rates could be utilized in an Economic Scenario Generator (ESG) to assist IFRS17 calculations, particularly for risk-neutral valuation of the time value of options and guarantees.

Description: From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 The panel discussion covered: · The basic concepts underlying fuzzy logic · Current applications to risk classification and pricing · Possible future uses of fuzzy logic · The basic concepts underlying neural networks · Current applications of neural networks in life insurance · Possible future uses of neural networks

Description: From the 1985 Valuation Actuary Symposium Discussion of the practical application of cash flow testing in the valuation process.

Description: This presentation is a panel discussion, session 56PD, from the 2004 Spring Meeting of the Society of Actuaries, held June 14-15 in San Antonio, TX. Tail risk, long recognized as important to insurance organizations, is being evaluated in a new light, with new approaches. The panelists review various approaches for measuring tail risk and how to price for tail risk using capital-market consistent techniques. From the Record of Society of Actuaries, Volume 30, No. 2.

Description: From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 The panel discusses: 1 Financial modeling tools used by the actuarial profession, 2 Pricing techniques used by Wall Street financial analysts, 3 Advantages and disadvantages of each approach 4 Market implications of each approach, and 5 Potential for harmonization of the two techniques.

Description: This is a panel discussion focused on asset/liability projections and cash flow analysis of pension plans.

Description: From a session at a meeting of the Society of Actuaries held in Las Vegas, NV May 22-24, 2000 The panelists cover: 1 The basic concepts underlying fuzzy logic, 2 Current applications to risk classification and pricing and 3 Future possible uses of fuzzy logic.

Description: From a session at the 2001 Valuation Actuary Symposium, held in Lake Buena Vista, Florida, November 29-30, 2001 Teaching session covering the development of realistic liability models for use in asset adequacy analysis, asset/liability management, pricing/repricing, financial reporting or other corporate purposes. The primary focus is modeling issues for variable product features, such as minimum living or death benefit guarantees on both variable life and annuities, annuity death benefit enhancements, and variable immediate annuities. Topics include: • Analysis of the special risks posed by these products • Selecting realistic dynamic assumptions • Techniques used in modeling these products • Scenario testing and result presentation to best communicate risks

Description: This session at the SOA 2001 Toronto Spring Meeting discusses customer relationship management [CRM] including the definition of CRM, why it matters, how to implement it, and how to model a customer and determine the lifetime value of a customer.