Description: The academy generator is widely applied in actuarial practice. Initially confined to regulatory reserving, companies are increasingly using the AAA/SOA generator over an ever widening range of applications testing the limits of the academy generator's intended function. The session will give a brief overview of the academy generator and the asset classes it can be used to model. It will also analyze the statistical properties of the academy scenarios and discuss the scenarios relative to standard validation criterion. Some of the challenges that actuaries face in using this framework will be reviewed and options for addressing these challenges will be offered.

Description: Presented at September 1994 Valuation Actuary Symposium. Discusses analyzing and projecting financial risk in group health plans.

Description: From a session at the Spring regional meeting of the Society of Actuaries held in Atlanta, Georgia, May 24-25, 1999 Equity-indexed products require an asset strategy that matches the equity options embedded in the liability. The panel discusses the following: A. Two asset strategies 1. Purchasing equity options that match the liability options: Is this a perfect match or are there still unhedged risks? 2. Dynamic hedging using the mathematics of “the Greeks”: Is it self-insuring? B. Accounting issues with these strategies

Description: This presentation is an open forum, session number 8OF, from the 1999 Valuation Actuary Symposium, held September 23-24 in Los Angeles. The panelists explore risk quantification from multiple perspectives, including: value-at-risk techniques and their application in the financial services industry, internal risk-based surplus formulas, and an NAIC Risk-Based Capital [RBC] Update. They discuss the application of existing and emerging risk evaluation techniques to one’s company or client circumstances. Discussion from participants is included.

Description: While intended to assist health plan actuaries responsible for stress testing and ORSA filings, this session will also be informative for actuaries interested in communicating the impact of potential catastrophic events for health plans to their management and board. It will begin with a discussion of event thresholds for stress tests and their impact on capital and financial statements. Presenters will take a detailed look at several catastrophic event case studies (historical and hypothetical) in the following areas: healthcare specific (e.g. pandemic, specialty Rx), financial institution/credit market, operational/business, strategic and multi-event scenarios.</

Description: Forming a view on what the tail looks like for various risk factors involves both technical know-how and considerable judgment. The presenters focus on what needs to be addressed when setting financial market risk and insurance risk assumptions, in particular when assessing the question of diversification and the treatment of tail dependencies between risks and lines of business:

Description: This presentation develops an integrated approach that addresses simultaneously guaranteed annuity option (GAO)’s pricing and capital requirement calculation.

Description: A presentation at the Actuarial Research Conference in August 2006 in Montreal. This paper discusses the Basel VaR Value at Risk test of a bank&#39;s VaR model. It proposes an alternative, Quality Control of Risk Measures QCRM Hypothesis test. The alternative is more likely to reject an incorrect VaR model.

Description: From a session at the Spring meeting of the Society of Actuaries held in San Antonio, Texas, June 14-15, 2004 Discussion of risk and pricing issues of particular concern with respect to life insurance and annuity products in times of relatively low interest rates

Description: Model Risk Management continues to be an evolving area for insurers to be considering. This has grown from both internal and external forces and may require a different format to previous model risk frameworks held by insurers. Furthermore, there are a number of trends emerging that we believe will drive an increased focus on insurer’s model risk management frameworks such as technology automation, ever increasing data sources, and the use of predictive models. Risk management and the development of models is an area where insurance companies have performed well in the past. It is expected that frameworks currently exist within companies; the governance, documentation, validation and control of model risk are likely to be well established practices. The challenge that insurers must consider is how well these have been adopted throughout the company for all models used to make business decisions and if the same level of rigor has consistently been applied. Regulation in a high-velocity actuarial environment will to be a challenge that actuaries must spearhead and must be proactive in guiding rule making to ensure continued innovation while putting data security and risk management first.