Description: Letter From The President column for the October/November 2012 edition of The Actuary magazine discussing the importance of actuaries staying relevant in today’s and the future’s work force.

Description: The academy generator is widely applied in actuarial practice. Initially confined to regulatory reserving, companies are increasingly using the AAA/SOA generator over an ever widening range of applications testing the limits of the academy generator's intended function. The session will give a brief overview of the academy generator and the asset classes it can be used to model. It will also analyze the statistical properties of the academy scenarios and discuss the scenarios relative to standard validation criterion. Some of the challenges that actuaries face in using this framework will be reviewed and options for addressing these challenges will be offered.

Description: This article reviews the sixth survey of Emerging Risks, sponsored by the Joint Risk Management Section and completed in fall 2012.

Description: This is intended to serve as a fundamental resource for a basic understanding of ERM, as well as a guide to further study of the subject. Members of the Casualty Actuarial Society have participated in the effort, as well.

Description: Contemporary ERM has moved from an event-based view of risk to a hierarchical, systems-based approach. In order to operationalize such an approach, a methodology is proposed in this paper that draws on phylogenetic approaches that have been successfully developed for biological evolution. The technique and process provide an insight into the lineage, pace and impact of external conditions on the evolution of risks. They also provide a unique and rational classification of risk in an enterprise that can be used to optimize risk management resources. An example of a fictitious insurance company is used to illustrate the approach. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: The paper argues that Risks Evaluation at its core is a psychological process that can lead to the special type of chaos described in modern Chaos Theory. It will argue that quantification and scientific modeling does not exempt risk assessment from the potential for deep biases. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: The U.K. Pension Protection Fund (PPF) was established in April 2005 to protect the pensions of members of U.K. private sector defined benefit pension schemes that have insufficient assets and whose corporate sponsor fails. The fund takes over the pension scheme assets and assumes responsibility for the payment of compensation to the former members of the scheme. PPF is funded by a levy on the population of eligible schemes. The elements of the enterprise risk management of the fund have been developed by reference to practice within proprietary insurance institutions and other pensions funds; their application to this unique financial vehicle is the subject of this paper. The paper draws on references to relevant risk and actuarial work. It is designed to illustrate the application of principles and techniques to a real world example.

Description: Global financial crises like the one recently experienced, affected both large and small institutions.Today, when there is heightened need for enhanced risk management tools, some entities are unable to employ sophisticated mechanisms due to limited data availability. Moreover, from the Basel Committee on Banking Supervision’s point of view via Basel II and Basel III, the internal ratings- based (IRB) approach requires that institutions have some reliable estimates of default probabilities of default for each rating grade. Taking the work of previous researches a step further, this paper intends to propose a new dynamic mechanism to for the risk management industry for to calculateing probabilities of default (PD). Through these estimates for the core model, we generate implied probability of default (PD) through actuarial estimation tools and different probability distributions. This mechanism is specialized to work best for low- defa ult portfolios (LDPs). Furthermore, scenario testing is adopted to validate the model against any model- specific bias

Description: ongoing discussion of the proper interest rate to use in discounting liability cash flows to reflect credit risk of the insurer in a fair value accounting system

Description: This report summarizes the major findings from the 14th (2020) emerging risk survey.