Description: Industry briefings and SOA news

Description: This paper discusses the Total Career Benchmark Model, consistent with Retirement 20/20 principles, focuses on reconstructing and maintaining a consistent and reasonable sharing of risks and rewards amongst the four stakeholders: Individuals, Society, Employers and the Markets. Modern technology provides the necessary tools. A series of benchmarks are used for tax limits, target pensions, accrual to date etc. The self adjusting, consistent benchmarks under the TCB Model, means that all stakeholders speak the same language. Individuals and Employers can easily compare what they have to what they need – and more importantly can see how to accrue what is needed. An individual’s ability to tax shelter income over a career is not dependent on the design of any employer pension plan. All funds allocated to an individual remain the individual’s and are not used to subsidize another person – except for the inherent risk sharing of an annuity – by hidden transfers of value.

Description: The SOA provides information about the actuarial career path in health care and predictive analytics. Throughout 2016, we will share more about actuaries who are tackling some of the industry's biggest challenges and hear from top employers in healthcare analytics.

Description: Describes the current enterprise risk management, ERM, model for beginners.

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