Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 This session talks about the issues that smaller companies deal with. Topics included: • Section 7 opinions —changing cash-flow testing requirements • C-3 risk-based capital requirements and methodologies • Setting and resetting X factors for Regulation XXX • Developing internal management systems • Regulatory update • Using outside consultants

Description: This presentation is a Teaching Session, number 46TS, from the 2002 Valuation Actuary Symposium, held September 19-20 in Lake Buena Vista, FL. In this session, the instructor discusses simple tools and guidelines to ensure that correct inferences are drawn. The material is presented without using complex mathematical formulas. Topics include application of a normal distribution—when it is appropriate and when it is not, drawing inferences about and creating confidence intervals around tail percentile, and Monte Carlo Simulations for Regulation XXX.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.

Description: 1) Vision of the applications and development of data analytics in life insurance industry in Asia; 2) How big is the pie and what are the current obstacles insurers are facing; 3) Utilization of data and analytics target operating models as a competitive advantage, with focus on future readiness, controls, efficiency and effectiveness; 4) Potential roadmap ahead: a) Assessment of the current state of maturity levels of data and analytics initiatives; b) Identification of technology and competency gaps; c) Establishment of data integration and management process within BUs, alignment of advanced analytics tools across departments, with centralized data governance, technology structure and decision making framework; d) Definition of criteria and metrics to measure key outcomes and business value added. 5) Case study on agency behavior management: a practical example on how data analytics is being used in practice: (a) key business objectives: improve agent behaviors and maximize productivity with the lowest possible compensation costs; (b) data collection and current state assessment; (c) detailed predictive modeling process, modeling outcomes, and business implications; (d) implementation and monitoring process.

Description: Discussion of the diversification activities of a number of life insurance companies. This includes the formation of, or acquisition of, property and casualty insurers, variable annuity companies, mutual fund management companies, banks, finance companies, leasing companies, real estate development companies, televisions and radio stations, newspapers, software consultants and other corporate enterprises. Discussion includes: 1. Activities really compatible with the llfe insurance product. 2. Activities otherwise compatible with corporate objectives or offering potentially large profit centers. 3. Activities which can be an excessive drain on corporate earnings and executive manpower 4. The actuary's role in these diversification activities. Then the discussion goes into a discussion of corporate planning models

Description: This session 15 PD of the Toronto Spring Meeting includes an update on specific approaches adopted by Canadian insurers and regulators to deal with capital guarantees on segregated fund products, capital modeling in the Canadian banking industry, and emerging issues using these techniques in the U.S. From the Record of the Society of Actuaries, Volume 27, No. 2, Session

Description: This session at the 1989 Valuation Actuary Symposium discusses modeling techniques for both assets and liabilities. Considerations are given for which assumptions are needed and how to determine them.

Description: From the 1986 Valuation Actuary Symposium, held in Washington DC in October 1986 Examination of the nuts and bolts of cash flow testing analysis.

Description: Transcript of discussion regarding rank correlation and bivariate distributions.

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.