Description: The October/November 2015 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: APL is both a unique form of mathematical notation and a programming language. As a notation it has intrinsic appeal and gives rise to many elegant and ingenious definitions of mathematical concepts. As a programming Language, or system, it also provides the user with instant evaluation of these concepts. The combination is extremely powerful, and some interesting applications may be demonstrated with respect to annuities.

Description: This article describes a simple but powerful tool for use by valuation actuaries and auditors when evaluating current assumptions for use in GAAP net premium reserve methods that require retrospective updating for actual experience and assumption changes. As a supplement, this tool can fill some holes left by existing tools. It produces results that can be compared to materiality thresholds at any level of aggregation, from a single reserve cohort up to the combination of all cohorts for all products subject to retrospective net premium reserve requirements. It can also serve as a benchmarking tool for estimated the possible effects of an assumption change or to help in explaining the effects of an actual assumption change.

Description: Risk adjustment is needed under IFRS 17 to reflect the compensation that a company requires for bearing the uncertainty about the amount and timing of the cash flows that arises from non-financial risk. Companies are also required to disclose the method and confidence level used for the calculation of the RA. However, IFRS 17 doesn’t specify a method and a confidence level, nor does it provide a list of specific risks that are considered to be non-financial risk. Companies need to define them based on their own preferences or existing practices. This article will introduce available approaches and discuss the confidence level approach with potential consideration stemming from industry preferences and illustrative examples.

Description: Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes predictive analytic results are very fragile to the inclusion or omission of just a few observations in the sample. Data, particularly big data, are often "messy" and something must be done about it. What is the actuary to do about these very practical matters? These types of questions are what this presentation is intended to address. Concerns on missing data, outliers, nonlinearity, mixed-frequency, cross-correlations are illustrated using real datasets in the Asia-Pacific countries. Some possible solutions to the messy data problems will be discussed.

Description: Discussion of the dangers of a product development process which places too much emphasis on the mathematical contribution of actuaries to the process.

Description: 1992 SOA Annual Meeting, Washington, D.C. The stated purpose of this session was to discuss specifically how a company can manage and improve its financial performance as measured by the statutory financial statement. Eleven strategies to improve performance were addressed.

Description: Panelists discussed the implications of the growing trend in Canada toward demutualization of mutual companies into stock companies. Topics covered include: 1. The Canadian demutualization process and some interesting differences between companies and across borders. 2. How is eligibility determined? 3. What process is being used to determine allocation of shareholder value? 4. What mechanisms are in place to protect policyholders' reasonable expectations? 5. What internal and financial structural changes are driven by demutualization? 6. How financial markets assess stock value for companies operating internationally.

Description: Learn about key actuarial and analytic tools and methodologies used by commercial health insurance to identify and quantify drivers of healthcare cost and utilization (including wasteful and low-value ones) and risks. Use case scenarios in which these tools and methodologies apply, such as underwriting, reinsurance, medical management for population health and chronic diseases, managed care contracting, insurance market reform, provider payment reform, etc., will also be covered. Experience from the U.S., China and other parts of the world will be shared.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.