Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.

Description: 1987 Valuation Actuary Symposium. This session discussed the implementation of a solvency testing process, associated company considerations, and the ways in which the process might be viewed by other parties.

Description: This paper investigates the implications of using the Basel II motivated Advanced Measurement Approaches as a method to assess operational risk capital charges for banks and insurance companies with regard to U.S. regulations. The AMA developed in the paper uses actuarial loss models complemented by the extreme value theory to determine the empirical probability distribution function of the aggregated capital charges in the context of various classes of copulas. From Actuarial Research Clearing House, 2006.

Description: 1998 Valuation Actuary Symposium. The panelists addressed the practical implications of how to use value-at-risk in a real-life setting, risk-based surplus, and an update of the C-3 component of RBC. This session is a mix between the regulatory situation and quantitative analysis.

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: U.K. life insurers writing participating business are required by the Financial Services Authority to value their assets and liabilities on a market-consistent basis. The purpose of this paper is to: • Explain the valuation approach based on market-consistent values and its rationale. • Set out the issues faced by life insurers in implementing the regime. • Explain how insurers addressed these issues. • Explain the importance of the modeling techniques they used.

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: 1994 SOA Spring Meeting, Orlando. In this session the panelists debated the diversity of professional practice about how companies and regulators can and should measure profit and set standards for profit margins. One panelist spoke of the traditional actuarial perspective, while the other represented the modern theory of finance.

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 from the 1993 Valuation Actuary Symposium focuses on general modeling issues associated with the completion of the opinion and memorandum required by revisions to the Standard Valuation Law. It concentrates on liability modeling.