Description: A call for essays issued by the SOA Health and Long Term Care Sections on the visions for the future of the U.S. health care system.

Description: Improving understanding of the complex relationships among financial entities is critically important for risk managers and for financial authorities charged with multiple policy objectives. High quality information is lacking at both the intra- and inter-enterprise levels and to support analysis of the financial network. Put simply, the current quality and quantity of relationship data is not sufficient to deliver on the ultimate objectives. For the purpose of this discussion we use a very generic definition of a term relationship somewhat similar to the definition used to describe human relationships. And like in the human relationships case we will not claim that only marriage and blood connection makes your relatives, but also loaning a book, loving, hating and sharing a flat. In the financial context, the relationships may be determined by accounting rules set, for example, by IFRS or US GAAP, as well as regulatory requirements in areas o f risk management, market integrity, know-your-client, network analysis and statistical consolidation. The financial industry and regulators have spent countless hours arguing and debating the definition of ownership. The problem lies in the question itself. We suggest that as part of any relationship data system the best approach is to put the question aside and avoid a conceptual and practical quagmire. Rather, we recommend collecting and storing less-subjective granular data on theactual legal and economic relationships between firms, which provides a flexibleframework from which any user can answer the question on corporate relationships he or she determines is appropriate at a given time. Encouragingly, technological solutions are available to accommodate this multiplicity of requirements in a single solution. The paper outlines where the practical challenges are that inhibit the development of high quality relationship data and how they can be overcome.

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

Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper highlights the impact that a change in conditional data would have on a variety of risk assessment models, with specific emphasis on investment forecasting.

Description: This paper examines the argument whether enterprise risk management (ERM) adds value to the entire firm. Using the A.M. Best property/casualty insurance business database from 2000 to 2009 for 794 US insurance companies we found evidence to support this argument.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper suggests the use of a policy event-based loss estimation method using expert input and simulation for forecasting long duration expenditures: that is to say, there is an efficient time, which is random and observable to replace a physical asset.

Description: Abstract: This paper examines the argument whether enterprise risk management (ERM) adds value to the entire firm. Using the A.M. Best property/casualty insurance business database from 2000 to 2009 for 794 US insurance companies we found evidence to support this argument.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper uses a case-study research design looking at two companies: Infosys and Rolls-Royce Corp. The goal of the research is to develop an explanation of how ERM brings about the strategic implications or its “promise” as it is popularly known in the ERM circle. The influential factors and how they are linked to the ERM process of achieving strategic implications are highlighted.

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

Description: 2011 ERM Symposium, Chicago. This is the abstract of the entitled paper.