Description: Presented at May 1996 Spring Meeting. Examines the view of life insurance companies and the life insurance industry from the perspective of a rating agency, and discusses recent trends and significant qualitative and quantitative elements of life insurance companies.

Description: Presented at May 1996 Spring Meeting. Explores some of the current best practices and provides insights on improving the process so that it is faster and cheaper.

Description: Presented at September 1995 Valuation Actuary Symposium. Discusses surplus management, including RBC, the capital management process and techniques, allocations of capital, raising capital, and rating agencies.

Description: While Model Efficiency and Model Governance may seem like completely separate topics, there is an intersection of them that should be of growing interest to modeling actuaries. This column from the Modeling Section Chair explores this area, asking how we will govern the increasing use of innovative modeling efficiency techniques.

Description: The five words for ERM are transparency, discipline, alignment, adaptability and resilience. This article focuses on transparency, discipline and resilience.

Description: Risk Magnification does exist and needs to be considered in the risk aggregation and risk management processes.

Description: Hear from the editor’s on the December 2018 issue of Risk Management published by the JRMS.

Description: Other articles that will be of interest to readers.

Description: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication

Description: An Overview of Stochastic Simulation modeling techniques and usages