Description: Charles Cadman and his team may be new to Kaggle’s data science challenges, but that didn’t stop them from achieving a top-ten finish.

Description: This paper expands upon current capital analysis by introducing a practical approach that considers the objectives of all stakeholders of an insurance company in setting appropriate capital targets. In addition, the paper introduces a technique for estimating capital adequacy that is based on mapping stochastic distributions of regulatory and rating agency capital measures to observable financial rating transition matrices.

Description: A research paper that outlines a seamless method of deriving assumptions for modern reserving and solvency capital requirements from a company’s own data.

Description: This predictive modeling paper, “Household Life Insurance Demand – A Multivariate Two-Part Model is one of a collection of essays that examine how existing or new methods or models can be applied to the life insurance industry.

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: Interest rate changes and volatile equity returns have contributed to significant funding and expense volatility for defined benefit plans in recent years. This paper will describe the design of an option contract with payouts that are tied to the combined impact of interest rates and investment returns on the funding level of a defined benefit pension plan. Current derivatives used by plan sponsors can limit exposure to one of these risks; however, a derivative that combines these risks may provide more targeted protection to a plan sponsor at lower cost. This paper discusses several considerations in designing such a derivative. It will also briefly discuss pricing of the option. Finally, the difference in potential outcomes between plan funding with and without option ownership will be demonstrated. As an outcome of the design work, a new way to visualize pension risk that may be useful in sponsor accounting disclosures will be shown.