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

Description: The Society of Actuaries Predictive Analytics and Futurism Section, the Financial Reporting Section, the Investment Section and the Canadian Institute of Actuaries are pleased to release a new and improved version of the 2005 Society of Actuaries (SOA) Delphi study of four economic variables. Performed by Theodore J. Gordon, the research acquaints actuaries with the application of futures methods that could supplement traditional actuarial forecasting practices.

Description: On January 12, 2023, the Arizona Blockchain Applied Research Center (AZ BARC) and the SOA Research Institute jointly ran a workshop on the use of blockchain technology in insurance and financial industries. The workshop included presentations focused on academic research in the blockchain space by Arizona State University, AZ BARC and an industry expert panel assembled by the SOA Research Institute. This document summarizes the research highlights and the discussions that occurred during the two-hour workshop.

Description: In the fourth quarter of 2022, publicly traded life insurers reported on their financial and operational activities, which included a downturn in income from alternative investments, the continuing impact of COVID, the impact of equity market returns on variable annuity products, and growth trends related to pension risk transfer transactions.

Description: The theme of this presentation relates to solving portfolio selection problems using linear and fractional programming. Two key contributions: 1. Generalization of the CVaR linear optimization framework. 2. Equivalences among four formulations of Coherent Distortion Risk Mearures optimization problems. From Actuarial Research Clearing House, 2012, Vol. 1.