Description: This paper reports on the findings of a working group established in 1999 by the SOA's Finance Practice Area to look at how the insurance industry measures and monitors risk through risk position reporting. Also the working group established industry standard practices in risk position reporting and reported on a number of areas for possible improvement in such reporting.

Description: Appendix 2 from the research report entitled 'Exploration of Reputational Risk from the Perspective of a Variety of Stakeholders.'

Description: This presentation discussed the Copula Methodology, which is the most popular methodology in multivariate modeling in finance and insurance. The definition, advantages, limitations, and uses of the Copula Methodology were presented. Some other multivariate models were discussed as well. From Actuarial Research Clearing House, 2012, Vol. 1.

Description: This is a presentation on computing tight bounds for insurance payments with nonlinear risk. Semi-definite Programming is defined, some examples are presented, and non-linear applications are presented. From Actuarial Research Clearing House, 2012, Vol.1.

Description: The Stochastic Volatility, SV, model is used for capturing the empirical properties of financial time series. This paper overviews those properties and compares the SV model with the heavy-tailed error distribution Student t-distribution and the SV model with the normal error distribution. The Simulated Maximum Likelihood, SML, method is applied to estimate the parameters and the latent volatility.

Description: This is a Confidentiality Agreement to be signed prior to contributing data to the Society of Actuaries' study that investigated the motivating factors contributing to the exercise of stock options.

Description: This report studies the various benchmarks for analyzing the option-adjusted spreads of the major fixed income asset classes of life insurance companies. In addition, this report analyzes the historical benchmark performance against default rates for the asset class being benchmarked.

Description: Call for essays on how actuaries can apply their financial skills to support non-profit financial management and promote societal purpose.

Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

Description: This paper investigates the implications of using the Basel II motivated Advanced Measurement Approaches as a method to assess operational risk capital charges for banks and insurance companies with regard to U.S. regulations. The AMA developed in the paper uses actuarial loss models complemented by the extreme value theory to determine the empirical probability distribution function of the aggregated capital charges in the context of various classes of copulas. From Actuarial Research Clearing House, 2006.