Description: The article summarizes the SOA survey conducted of risk professionals regarding their understanding of important risk terms. The results contain perceptions by individuals and also firm-level information. Survey responses clearly demonstrated high differences in risk definitions.

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 is a table from an article in The Actuary Magazine entitled An Analysis of Risk Management Terminology - Your guide to speaking ERM with different industries.

Description: This abstract describes a paper that proposes a copula-based multivariate Tweedie regression for modeling the semi-continuous claims while accommodating the association among different types.

Description: This is the first article in the new "Fireside Chat" series which intends to honor highly accomplised academic actuaries and allow them to share their insights into academic careers with young scholars. This article is mainly based on an interview with Dr. Edward Frees (Jed), one of the most accomplished actuarial professors.

Description: This is a table from an article in The Actuary Magazine entitled An Analysis of Risk Management Terminology - Your guide to speaking ERM with different industries.

Description: This abstract describes a paper that proposes a Bayesian hierarchical model to analyze intercompany claim triangles.

Description: A table from an article in The Actuary Magazine entitled An Analysis of Risk Management Terminology - Your guide to speaking ERM with different industries.

Description: This is the abstract for the presentation on long-tail longitudinal modeling of insurance company expenses.

Description: The insurance industry is known to have high operating expenses in the financial services sector. Insurers, investors and regulators are interested in models to understand the behavior of expenses. However, the current practice ignores skewness, occasional negative values as well as their temporal dependence. Addressing these three features, this presentation develops a longitudinal model of insurance company expenses that can be used for prediction, to identify unusual behavior, and to measure firm efficiency. Specifically, it uses a three parameter asymmetric Laplace density for the marginal distribution of insurers’ expenses in each year. Copula functions are employed to accommodate their temporal dependence. As a function of explanatory variables, the location parameter allows the presenters to analyze an insurer’s expenses in light of the firm’s characteristics. Their model can be interpreted as a longitudinal quantile regression.