Description: Securitization of mortality risks is an alternative risk management tool that may have some advantages over reinsurance. The purpose of this paper is to study mortality-based securities, such as swaps and mortality bonds, and to price the proposed mortality securities. We focus on group life annuity data, although the techniques could be applied to other lines of annuity or life insurance.

Description: Much of the push for ERM has come from regulators and rating agencies, but it is being applied in internal company decision-making as well. This paper reviews the progress made and the needs still outstanding in two key areas of application: optimal capital level for an insurer and risk-adjusted profitability of business units. The basic conclusion is that progress has been made in these areas, but more is needed. Building models is not emphasized—it will be assumed that a state-of-the art model is available. The emphasis is on using such models in decision-making.

Description: Panel explores new disability products offered by writers of individual disability insurance and the ways in which these products connect with other types of insurance. From the Record of the Society of Actuaries, Vol. 25, No. 2.

Description: The article highlights key considerations as companies begin to reserve for their IUL products under PBR.

Description: Summary of NAIC's Winter National Meeting

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: Oliver Wyman surveyed the life insurance industry in 2Q 2018 on emerging life PBR practices. Key takeaways and a deeper dive on select practices are provided.

Description: This paper explores Indian futures and options market as a market for hedging by equity holders. The authors have tried to examine optimal hedge ratio and hedge efficiency, and to provide empirical evidence from India.

Description: This paper illustrates the application of stochastic control methods in managing the risk associated with an insurance business. We present the Hamilton-Jacobi-Bellman HJB equation and demonstrate its use in finding the optimal investment strategy based on some given criteria. Here we consider an insurance business with a fixed amount available for investment in a portfolio consisting of one non-risky asset and one risky asset. The object of the resulting control problem is to determine the investment strategy that minimizes infinite time ruin probability. The existence of a solution to the resulting HJB equation is shown. The relevant verification lemma is not presented in this paper and a numerical algorithm is given instead. Examples applied to exponential claims are also presented.