Description: 2011 Enterprise Risk Management Symposium, Chicago. This is the abstract of the entitled paper.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper explores cognitive and behavioral theories that can be applied to explain why emerging risk is often overlooked, downplayed or ignored. It also proposes an innovative framework for managing emerging risk within an overall enterprise risk management program.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This is the abstract of the referenced paper.

Description: Presented at the Living to 100 Symposium, January 2011. Long-term care LTC insurance is frequently not covered by national social insurance programs. When costs are expressed as a percentage of gross domestic product, the future burden of financing LTC would not lead to unbearable tax levels and is not particularly large in comparison to the projected costs for pensions and health care. After identifying the breadth of definitions of LTC needs, it is argued that LTC is an insurable risk. The paper concludes that LTC social insurance is affordable in developed countries.

Description: Presented at Living to 100 Symposium, January 2011. This article estimates the impact of obesity and diabetes on disability and mortality for those older than 65 using the 2004 National Long Term Care Survey with disability based on the Health Insurance Accountability and Portability Act's Activities of Daily Living and Cognitive Impairment triggers.

Description: Presented at Living to 100 symposium, January 2011. This paper adapts New Zealand Maori and non-Maori population mortality data to reflect differences in socio-economic status. This adapted data is used as a basis to explore the implications of differential mortality in assessing the equity of increase in the pension age of eligibility.

Description: The costly, time-consuming and complicated process of enterprise risk management (ERM) can be improved in many companies and made less tedious for managers by using reasonable data and templates obtained from peer group entities. The models used to calculate economic capital (EC) often underestimate its value because they do not consider decision-maker perception about risk. We assume here that managers, as the decision-makers, have appropriate business understanding and they can provide substantial information about risk characteristics regarding all business processes. Therefore we are focused, in this paper, on collecting data from managers across the different businesses to derive the appropriate knowledge about risky events, the importance of particular types of risk, the relationship between the risk outcomes and the level of risk control in a particular industry. We conclude that the collected data has a high potential for use as a benc hmarking reference and analysis for improving ERM models for individual businesses.

Description: Analyzes the need for enterprise risk management for small businesses and the unique principles governing such a discipline. The paper describes a case study done by Goldenson Actuarial Research Center at the University of Connecticut and concludes with some suggestions on how ERM for small businesses can be done on a larger and sustainable scale using student resources supported by large corporations, banks and government organizations.

Description: Abstract: A model for analyzing the probability and severity of default of sovereign entities and banks. The methodology analyzes the risks inherent in the investment of debt of sovereign governments and large financial institutions side-by-side, taking into consideration macroeconomic interactions among the sovereign fiscal and monetary authorities, the financial institutions, and the real economy. The signature aspect of the methodology is that it adapts a Merton-style default model to use explicit measures of sovereign assets and asset volatility.

Description: Abstract: This paper provides background on the characteristics of the upper-truncated Pareto distribution and suggests some diagnostics, based on order statistics, to assist in selecting the upper truncation point, which affects the tail of the distribution in a risk model.