Description: This is the abstract of a paper that builds on previous work concerned with measuring equity, and considers the problem of using observed claim data or other information to arrive at premiums which maximize equity. When these optimal premiums are used, it is shown that gathering more information or refining the risk classification must always increase equity.

Description: Abstracts from ARCH 1980.1

Description: The abstract for the paper Mortality Laws and Models, Part 2 - Application of Mortality Models to Japan.

Description: The abstract for the paper Data Sources, Quality and Analyses - Data Quality of Oldest-Old Population in Taiwan 2003 Census for Ages 89 and above.

Description: The abstract for the paper A New Risk Metric for Defined Benefit Pension Plans.

Description: Recent trends in mortality suggest that future gains in life expectancy will occur after age 80. This fact stresses the need and the importance to obtain precise measures of mortality at the highest ages, which are always subject to uncertainty due to misreporting of age at death.

Description: This paper demonstrates the use of Quantile Regression in the development and understanding of conditional value at risk (VaR) models for enterprise risk management.

Description: The paper discusses the arguments supporting the need for risk culture to transition into ERM culture to be embedded across financial organizations. Creating and maintaining strong ERM culture is paramount to a lasting and meaningful ERM program. It is essential for organizations to understand what ERM culture is, how it gets established and in what way affects the process of ERM implementation. Often, the implications of financial enterprises not focusing on the significance of ERM culture manifested in severely compromised ability to generate sustainable value and market competitive advantage. This paper calls for rethinking the role of ERM culture in the context of managing risks.

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.