Description: Most actuarial explorations of increased longevity have, quite understandably, focused on its direct financial implications for things like health care costs, retirement systems, and social security or other public policy provisions. But future life extension has many other potential implications, both direct and indirect, for various socioeconomic factors, which in turn have the potential to affect the actuarial valuation of future risk contingencies. This paper examines a sampling of the socioeconomic issues emerging from the possibility of substantially increased longevity. Because of the complexity and interrelatedness of these issues, actuarial and risk modeling of this prospective environment could be a significant challenge.

Description: A program of undergraduate research in actuarial science and financial mathematics has been implemented at the University of Illinois over the last two years. This program has included two National Science Foundation-sponsored research Experiences for Undergraduates [in Summer 2007 and Summer 2009] on the topic 'Stochastic Modeling in Actuarial Science and Financial Mathematics,' as well as a variety of academic-year research projects undertaken by current actuarial science majors. This paper summarizes the program's evolving experiences in providing research opportunities to undergraduates, and highlights some of the topics and issues arising from these research experiences.

Description: This paper represents a brief progress report on research, being sponsored by the Casualty Actuarial Society CAS and the Society of Actuaries SOA, in the area of modeling of economic series. In particular, research is being undertaken to provide a foundation for the actuarial community’s modeling of a variety of economic variables, including interest rates, equity returns, inflation, unemployment rates, and real estate price levels. The specific objectives of this research are to provide a summary of the literature in the area of economic scenario modeling, identify data sources and methodologies in this area useful to the actuarial profession, and produce working software for economic modeling, including appropriate documentation, to be made available to the general actuarial community in order to allow actuaries to use and build upon this research.

Description: From June 11 through August 3, 2007, the University of Illinois at Urbana-Champaign [UIUC] hosted a National Science Foundation-sponsored Research Experience for Undergraduates on the topic 'Stochastic Modeling in Actuarial Science and Financial Mathematics.' This Experience, provided to 6 undergraduate mathematics students from universities across the United States, was directed by Professor Rick Gorvett, the Director of the UIUC Actuarial Science Program. This report summarizes the program and describes the research projects undertaken.

Description: This paper uses Interpretive Structural Modeling concepts and techniques to better understand a company's overall risk profile. By viewing all of the risks in a firm as an integrated system, one can apply a computer-assisted learning process to construct a structural graph and illustrate the risk interrelationships. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: This paper examines the concept on an Enterprise Risk Management Office, ERMO, and is investigated relative to the project management office, PMO, another enterprise-wide entity that has evolved in corporations. Guidelines and best practices for an ERMO are also suggested. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: This paper represents a brief progress report on research, being sponsored by the Casualty Actuarial Society and the Society of Actuaries, in the area of modeling of economic series. In particular, research is being undertaken to provide a foundation for the actuarial community’s modeling of a variety of economic variables, including interest rates, equity returns, inflation, unemployment rates, and real estate price levels. The specific objectives of this research are to provide a summary of the literature in the area of economic scenario modeling, identify data sources and methodologies in this area useful to the actuarial profession, and produce working software for economic modeling, including appropriate documentation, to be made available to the general actuarial community in order to allow actuaries to use and build upon this research. From Actuarial Research Clearing House 2004, Vol. 1.

Description: In May, 2001, the Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA) jointly issued a request for proposals on the research topic “Modeling of Economic Series Coordinated with Interest Rate Scenarios.” The objectives of this request were to develop a research relationship with selected persons to investigate this topic; produce a literature review of work previously done in the area of economic scenario modeling; determine appropriate data sources and methodologies to enhance economic modeling efforts relevant to the actuarial profession; and produce a working model of economic series, coordinated with interest rates, that could be made public and used by actuaries via the CAS / SOA websites to project future economic scenarios. Categories of economic series to be modeled included interest rates, equity price levels, inflation rates, unemployment rates, and real estate price levels.

Description: This is the abstract of a paper about developing a model that will provide insight into the true inherent value of a property-liability insurance company from a market perspective.