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 suggests that risk is too complex to quantify with a single number, and offers a two-dimensional risk measure while introducing the concept of 'iso-risk' curves. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

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: This paper, part of the Society of Actuaries [SOA} ‘Research Projects – Finance/Investment,’ is presented by the SOA’s Committee on Finance Research. This research project, jointly sponsored by the SOA and the Casualty Actuarial Society [CAS], explores economic series and provides an Excel-based tool for generating future economic scenarios. In addition to the paper, which includes an excel workbook containing results of model simulations, there are the following appendices - Appendix A, a 26 page ‘user’s guide,’ Appendix B, a 91 page document entitled ‘Presentations of This Research,’ Appendix C, a zipped file containing hundreds of scenarios i.e., simulation paths of financial and economic variables, generated as output from the Financial Scenario Model, and Appendix D, the model itself in an Excel workbook.

Description: The abstract for the paper Setting Up the Enterprise Risk Management Office.

Description: This essay advocates for the consideration of risk in an interdisciplinary framework. An "effective resilience" metric is introduced as a way to reflect an organization's exposure and response to an adverse event, and to measure the ability of the organization to mitigate and recover from the resulting reduction in its operating level. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: Applies the economic concept of negative externality (where firms profit but create unacceptable social costs) to systemic of financial institutions. Identifies alternatives to the traditional (Pigou) response of taxing the firm.

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 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.