Description: An essay on example of how actuaries have influenced accounting

Description: Actuaries can serve an important role by exploring modeling and data analysis techniques to discover predictive patterns and relationships.

Description: This article discusses business risks in the National Football League - “NFL” - and the author describes a model his firm developed to address the risks of a player’s salary exceeding the value of the player, and the risks of the negative impact of off field behavior. The author refers to this as the Negate Failure and Legal, or “N-F-L,” player selection and pricing model, effectively a risk management tool for NFL teams.

Description: This report is a follow-up to the 2018 Group Long-Term Disability Experience Study Report. This report analyses the same dataset, but focuses on the new variables that are included with that dataset, and also details the application of various Predictive Analytics techniques to the data.

Description: This paper sets out to demonstrate that the economic capital, risk drivers, and business model are intricately integrated, and that this has broad implications on enterprise risk management for financial institutions. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: As an alternative to the widely-used 'return on economic capital' RAROC, this paper proposes a performance measure consistent with standard valuation models, and discusses its implications for prudential regulation. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: Managing corporate defense is therefore an extremely responsible station, as it involves the responsibility for adequately defending the interests of all of the stakeholders of an organization, both in terms of monetary and human implications.

Description: The purpose of this paper is to address key aspects of the risk/strategy/finance ERM implementation from both the theoretical and applied perspectives. The topics to be covered are: ERM overview including historical perspective, ERM implementation—focusing on strategy, finance and risk, and Case study of how one insurance and investment company approached the integration of a major risk type within the ERM framework, market risk, into the financial planning and reporting process. This paper will focus exclusively on the insurance industry.

Description: People naturally observe risk in the form of the range of experienced gains and losses which is usually represented in statistical terms by standard deviation. In most cases, there are not enough observed values to reliably discern the true amount of losses that are possible in extreme situations. Statistical techniques that have long been applied to insurance company risks are being used to extrapolate from observed risk to extreme tails of the distribution of gains and losses. These processes are essentially an extrapolation from the “known” risk of volatility near the mean to “unknown” risk of extreme losses. “Fat tails” is a term often applied to risks where the likely losses in rare situations significantly exceeds the predictions of a Gaussian (“thin tailed”) distribution. This paper will look at the relationship between the observed risk and the extreme risk in statistical insurance r isk models and discuss how we might create a discussion among model users about the appropriateness of that relationship for specific types of risks.

Description: This paper, originally published in March 1983 as a study note for exam part 10E, and in 1984 in the Transactions of Society of Actuaries Vol. 34, is designed to be a single reference source for actuaries who want to increase their understanding of a GIC. This educational paper provides knowledge on all aspects of GICs, including their history, and has received significant recognition, including the 1984-85 Annual Prize, and the L. Ronald Hill Memorial Prize in 1985.