Description: We develop a model based on causal mortality in order to better understand inequalities in life expectancy across socioeconomic circumstances.

Description: We develop a model based on causal mortality in order to better understand inequalities in life expectancy across socioeconomic circumstances.

Description: The article is Part 1 of two articles that provide a case study for the development of a profitability and risk dashboard. The sample dashboard provides distilled information regarding actual to expected (A/E) ratios for key risks, agent quality scores and customer value scores. The dashboard would also provide the value of new business written, surplus strain, debit balances, and expected losses on debit balances at different levels, down to the agent level. A product mix index is provided, together with visual comparisons of key metrics to the company's business plan. The Part 2 article will add information to the dashboard regarding risk margins, target capital, and company value.

Description: This article provides an overview of the Stock Value Approach (SVA) to ERM as a solution to these common challenges.

Description: Diverse Risks 2016 Call for Essays

Description: Reminding that incentive compensation needs to hit the target on average, needs to have variability related to the level of control over company’s fortune and ensure people are participating.

Description: Summary of the ReFocus 2018 Conference, jointly sponsored by the American Council of Life Insurers and the SOA.

Description: Article describing key steps to develop an incentive compensation plan that aligns to the company’s risk profile, mitigate excessive risk taking, retain talent and meet the disclosure requirements. The yearly development cycle includes develop the incentive compensation program, communicate and implement and assess the plan performance on both short and long term horizon.

Description: Financial institutions have and continue to suffer substantial financial losses because of their exposures to various operational risks and insufficient risk management. Quantifying operational risk is a critical component of an institution’s ability to manage risk. The model described in the article provides a numerical measure for operational risks existing in a business entity through statistical methods. It takes experience data to reflect both the general features and company specifics of the defined operational risks, while also allowing for managerial discretion. An important achievement is to suggest a level of capital to hold against potential losses arising from operational risks.