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: Asset/Liability Watch February, 2016

Description: This report presents the results of a market research study to explore untapped opportunities for actuaries in the health care industry.

Description: This paper suggests that a mixture of pay-as-you-go and reserve financing would help Taiwan's troubled social security program. From Actuarial Research Clearing House 2009, Vol 2.

Description: This research was funded by the Natural Sciences and Engineering Research Council of Canada [NSERC] Discovery Grant 36860–06. Loss reserving is one of the most challenging tasks facing actuaries. Numerous approaches have been developed to give reasonable estimates. Generalized linear models [GLMs] are becoming quickly popular statistical analysis methods to estimate loss reserves. However, most of these models are aggregate reserving methods based on loss development triangles, without using information with regard to the actual claims processes. This paper establishes a more sophisticated structural reserving method incorporating more detailed information, such as the premium exposure emergence pattern, the loss emergence pattern and the loss development pattern, within the framework of GLMs.

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: 2019 Student Research Case Study Challenge submission from University of North Carolina at Chapel Hill.

Description: Resource material for 2018 data analysis contest.

Description: 2021 Student Research Case Study Challenge Parametric Insurance

Description: Research project examining the utility of standard eligibility and claims extracts for complementary and alternative medical therapies (CAM) analysis. Report includes links to extracts and tables.