Description: This is the abstract for the presentation on pricing longevity index swaps.

Description: This is the abstract for the study that focuses on the fuzziness in regression models.

Description: The abstract for the paper An Investigation of Select Birth Cohorts.

Description: The abstract for the paper Mortality at Advanced Aged in the United Kingdom.

Description: The abstract for the paper Applying Actuarial Techniques in Operational Risk Modeling.

Description: The abstract for the paper Integration of Financial Risk with Efficiency Measurement: Case of Summer 2006 in Electricity Sales Business in Poland.

Description: 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.

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.