Description: Presented at June 2000 Spring Meeting. Discusses adjustments mutual company actuaries have to make after demutualization: financial reporting, product design and pricing, profit measures, and roles and opportunities.

Description: This is the A Study into the Impact of Pre-Programmed Health Risks in Retirement Planning paper authored by N. V. Subramanyan for Session 1B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This article examines the impact of a changing smoking rate on population-level mortality improvement and the importance of taking this driver into account.

Description: The Impact of Tax Reform on Federal LTCI Deductibility for Business Owners.

Description: Corporate Economist for Humana describes the process of relating the macroeconomy to trends in health care claims. Rather than omit the economy's influence, or ascribing it to another source, forecast accuracy is improved by explicitly incorporating macro trends after actuarial components are removed. Success in this endeavor depends on deep knowledge and experience with both econometric forecasting and the health care industry.

Description: We look in this article at the challenges which life insurance companies operating in a low interest environment have to face.

Description: View the SOA Research Institute report "The Impact of Disaster Events on Investments – Contagion Channels Perspective" in Simplified Chinese

Description: This is the abstract of a paper that presents a model for examining the effect of various relationships between mortality rates and lapse rates on the mortality experience of a cohort of insured lives. It takes an individual approach rather than the aggregate approach used in traditional methods of analyzing selective lapsation. The model assumes that insured lives are healthy at policy issue, but may later move to an impaired state from which the lapse rate is zero. Associated with each insured is an unobservable 'risk level' random variable, which reflects the heterogeneity of the insured group. Individual mortality and lapse rates are functions of the risk level. A numerical illustration provides some interesting results obtained using this model.

Description: Noted author and speaker talks about risk and the nature of risk, drawing from his extensive knowledge and experience in economics and finance. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 1GS of the Boston Annual Meeting.

Description: Insurance companies utilize derivatives in a variety of ways to manage and mitigate risks that are inherent in their investment or liability portfolios. They can be characterized by three main features: medium long-term duration; large volumes; and significant market risk exposure. Given the persistent low interest rate environment across the curve since the 2008 financial crisis, large companies need to hedge their liabilities, as illustrated by the significant recent increase from $786 billion as of fiscal year 2010 to $1,885 billion as of FY 2014 by insurance companies.As the Variable Annuities (VA) guarantees embedded within those liabilities hold a strong convex risk profile with respect to the underlying stock, VA carriers need to buy some convex hedge assets such as options to match the liability risk profile to improve hedge effectiveness, implying the growing cost of hedging. Such market impact of the quantity on the cost of hedging is further magnified in the recent period with the short-lived, but sharp transitions from low volatility to high volatility, when market volatility suddenly increases, even when there were no well-known fundamental catalysts. This partially stems from the growing managed volatility funds embedded within VA ($bn 400).VA carriers willing to trade a large quantity of options will see such market impact as an important dilemma, as the cost of placing one large order to close position will be far greater than the sum of infinitely small orders differed in time. In that context, managing market impact requires introducing an explicit market impact function, the influence of which the agent will try to minimize. The effect on hedge asset prices significantly depends on whether there is or not significant delta hedging activity. In case of no significant delta hedging activity, the risk appetite has a significant influence on the optimal execution strategy. If there is significant delta hedging activity, the optimal trading involve