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

Description: This article summarizes the presentations by the Society of Actuaries and the Academy of Actuaries at the January 2015 National Academy of Social Insurance (NASI) Roundtables in Washington DC. SOA presented on the 2014 SOA monograph series "The Link between Retirement Security and Long-Term Care."

Description: This article summarizes a recent revenue ruling concerning the insurance company qualification of an affiliate that reinsures retiree health benefits under an arrangement entered into by a VEBA.

Description: The Investment Symposium is a day-and-a-half long seminar that will focus on the issues and questions faced by investors and risk managers, especially related to insurance companies and retirement plans. Presenters will discuss the big picture issues and explore practical solutions to today’s challenges. Experts will share new approaches to portfolio management and cutting edge research in asset-liability management. Technology, regulation and the economic environment will

Description: Based on interviews with C-level executives, this report offers insights on the role and actions of the global insurance industry in addressing climate change

Description: The article is based on a study of causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency.

Description: Abstract: A model for analyzing the probability and severity of default of sovereign entities and banks. The methodology analyzes the risks inherent in the investment of debt of sovereign governments and large financial institutions side-by-side, taking into consideration macroeconomic interactions among the sovereign fiscal and monetary authorities, the financial institutions, and the real economy. The signature aspect of the methodology is that it adapts a Merton-style default model to use explicit measures of sovereign assets and asset volatility.

Description: Recaps April 2015 seminar on derivatives use for fund managers and insurers in China. Describes growth in Chinese derivatives market including CSI 300 futures