Description: The ideal business situations for securitization would be those where a company faces significant risks or has significant growth opportunities and where conventional sources of risk hedging or financing are not available or are too expensive. Ultimately, securitization should be able to provide hedging and/or financing that is more effective and less expensive than the alternatives.

Description: This article discusses how insurers that focus on their core competencies and astutely outsource other functions will become more competitive and improve their performance.

Description: This is an interview with Prakash Shimpi who talks about enterprise risk management, research and development. From News Direct, September 2005, Issue No. 51.

Description: Investment risk management has become a core competency of insurance companies, and much has been discussed on this topic. This session examines the current investment risk management practices such as product line specific hedging and macro hedging, with a focus on what still remains to be addressed—whether the tradeoff of addition risk management is worthwhile.

Description: Case Study for Fall 2009 Exam AFE.

Description: Spreadsheet with documentation for exhibits to the May 2007 report: The Potential Impact of Pandemic Influenza on the U.S. Life insurance Industry

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 paper develops credibility using a longitudinal data framework. In a longitudinal data framework, one might encounter data from a cross-section of risk classes towns with a history of insurance claims available for each risk class. For the marginal claims distributions, we use generalized linear models, an extension of linear regression that also encompasses Weibull and Gamma regressions. Copulas are used to model the dependencies over time specifically, this paper is the first to propose using a t-copula in the context of generalized linear models. The t-copula is the copula associated with the multivariate t-distribution like univariate t-distributions, it seems especially suitable for empirical work. Moreover, we show that the t-copula gives rise to easily computable predictive distributions that we use to generate credibility predictors. Like Bayesian methods, our copula credibility prediction methods allow us to provide an entire distribution of predicted claims, not just a point prediction.

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.