Description: This paper reports on the findings of a working group established in 1999 by the SOA's Finance Practice Area to look at how the insurance industry measures and monitors risk through risk position reporting. Also the working group established industry standard practices in risk position reporting and reported on a number of areas for possible improvement in such reporting.

Description: This is a compilation or risk management terms garnered from a survey of risk professionals supplemented with analysis of firm-level information on significant risks as reported in 10-K financial statements. Results indicate the existence of significance differences in terminology. The dominating pattern observed is a dichotomy between internal and external perceptions. Also observed is a difference between terms used by actuarial professionals and traditional risk managers.

Description: This article discusses the pending book entitled 'Dynamic Risk Modeling Handbook.' The proposed scope and outline of the book is reviewed. This is a revision of the 'DFA Handbook' which was published in 1995.

Description: Many insurers preparing market consistent financial statements encounter the issue of developing volatility assumptions for equity options and guarantees that are longer than any observable market data. This presentation develops a generalization of the classical Black Scholes option pricing model that is consistent with the European CRO Forum's framework for valuing non-hedgeable risk. The presentation argues that, with reasonable parameter choices, the model fits observed volatility surfaces well enough that it can be used to estimate implied volatilities where no market data exists.

Description: This paper reviews the main methodological questions underlying the theoretical pricing of catastrophe insurance futures. From Securitization of Insurance Risk: The 1995 Bowles Symposium, M-FI978-1.

Description: There is no right price for a piece of insurance. There is simply the transacted market price, which is high enough to bring forth sellers and low enough to induce buyers. From Securitization of Insurance Risk: The 1995 Bowles Symposium, M-FI97-1.

Description: Successful healthcare reform: First, it must help that must keep healthy people healthy. Second, it must help people mitigate or eliminate the health-risks associated with unhealthy lifestyle behavior choices, and Third, it must ensure the provision of evidence-based care to those who are ill.

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: Irish actuary and professor explains his hypothesis that actuaries, as practitioners, are reluctant to adopt the theories of financial economists unless the models on which the theories are based fit the actual data the actuaries have.

Description: Emerging Applications of ESG Methods offers ground-up insights on cutting edge applications of economic scenario generation. The course will focus on the incorporation of climate change risk in scenario modeling and investment applications of ESGs. The following topics will be covered: Approaches to climate risk modeling. Climate risk is very different than classical financial economic risk. Radical uncertainty is amenable to scenario analysis and lack of data. Building special deterministic scenarios that go beyond NGFS requirements as well as bespoke scenarios. Holistic Approach to Climate Risk Modeling. Overview of different Climate Risk Modeling Applications. Use of ESG scenarios for Strategic Asset Allocation (SAA). Liquidity risk management.