Description: This is the abstract for the paper on a household's life insurance demand - a multivariate two parts model.

Description: Many insurers preparing market consistent financial statements encounter the issue of developing volatility assumptions for equity options and guarantees that are longer than any observable market data. This presentation develops a generalization of the classical Black Scholes option pricing model that is consistent with the European CRO Forum's framework for valuing non-hedgeable risk. The presentation argues that, with reasonable parameter choices, the model fits observed volatility surfaces well enough that it can be used to estimate implied volatilities where no market data exists.

Description: This paper addresses the fuzziness in regression models. The goal is to present a test procedure to explicitly examine whether an independent variable has a clear functional relationship with the dependent variable in a specific regression model, or whether their relationship is fuzzy. To this end, the authors interpret the spread of the regression coefficients as a statistic measuring the fuzziness of the relationship between the corresponding independent variable and the dependent variable. They then derive test distributions based on the null hypothesis that such spreads could have been obtained with data generated by a classical regression model with random errors. The analysis is presented in conceptual rather than technical terms.

Description: Most discussions of actuarial education focus on 'what actuaries need to know'– the knowledge content. This is akin to discussing say mortality by considering just one relevant factor [perhaps age]. Reflecting on more than a quarter of a century teaching thousands of actuarial students in eight countries across many cultures suggests that a curriculum is much more than a list of syllabus topics and that a realistic model of student learning needs to acknowledge many more factors than just the knowledge content and the 'ability' of the student. This paper summarises what the author has learned about learning. From that basis it identifies some challenges for actuarial educators, especially in the areas of the development of students’ skills, the assessment of students’ learning and the 'shape' of actuarial education. The relationship between universities and actuarial bodies is also discussed.

Description: This abstract describes a paper that introduces spatio-temporal models and methods for analysis with specific emphasis on quantities of interest in actuarial science. Generalized additive mixed models are used for the analysis of geographic and temporal variability of mortality rates.

Description: This abstract describes a talk that presents recent and planned SOA Education activities.

Description: This abstract describes a paper that studies Gerber-Shiu functions and dividend payments in an insurance risk model driven by a spectrally negative Levy process of bounded variation.

Description: This abstract summarizes the background for a presentation at the Actuarial Research Conference that describes summer actuarial science programs for minority high school students and the role they have in the profession's diversity efforts. Expanding the number of such programs is explored.

Description: This is a presentation from 45th Actuarial Research Conference, Vancouver, 7/26-28/2010. This presentation introduces the Insurance Corporation of British Columbia’s new methodology for predicting average premium levels. It discusses the premium forecasting using Principal Components Analysis PCA.

Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.