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: Presented at October 1986 Annual Meeting. This session discussion is about the use of simulation, or Monte Carlo, techniques to analyze complex insurance models such as estimating reserves, solvency considerations, and estimation of mortality and distribution of aggregate losses with the aid of a computer program

Description: 1998 Valuation Actuary Symposium. The panelists discussed applying economic scenario generators in the life insurance business, a particular generator that has been developed at SS&C Technology Company, a way of reducing the number of scenarios to get the maximum amount of information, and what to look for in a software vendor.

Description: This presentation is from session number 3, presented at the 1999 Valuation Actuary Symposium, held September 23-24 in Los Angeles. The panelists address specific asset modeling issues of current interest, including purpose of model considerations, dynamic reinvestment strategies, and less than rigorous modeling of asset optionality.

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: From a session at the Spring regional meeting of the Society of Actuaries held in Atlanta, GA May 24-25, 1999: Year 2000 and Beyond: Society of Actuaries New Course: Applied Modeling Demonstration: Charts 3 & 4 from that presentation

Description: 1988 Valuation Actuary Symposium. In this session the speaker talked about the nonparticipating guaranteed life insurance segment with a concentration on the specific characteristics of the model he used. A Group Life and Health operations segment model was also presented.

Description: This session from the 1993 Valuation Actuary Symposium focuses on problems and solutions observed by consulting firms including cash flow testing, modeling of assets and liabilities, who the valuation actuary relies upon and the software being used for valuation actuary work.

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.