Description: This article discussed modeling the P&C reinsurance market using an Agent Based Model to provide insights into the market. The characteristics of this marketplace provide credibility to this type of modeling. Specifically, the P&C reinsurance market has few major players, very little product differentiation, and low barriers to entry. In addition established competitors are volume-constrained due to prior business and capacity decisions made based on estimated product costs and prices.

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: Chairperson talks about the activities of the section.

Description: Findings from EY Insurance Risk Management Team's 2016 (annual) Insurance Chief Risk Officer Survey.

Description: This article provides an overview of the commonly used structural credit risk modeling approach that is less familiar to the actuarial community.

Description: This article talks about the role that models played in the subprime meltdown and the subsequent crisis in the financial markets in general. The models failed to provide information about the magnitude of potential 'black swans'. Extreme Value Theory [EVT] is described as a potential solution to this error.

Description: To deal with future correlation crises, the author suggests the implementation of ‘’quanlitative analysts’’ (‘Quanls’) in the enterprise risk management (ERM) process: risk managers who are able to lead interdisciplinary ERM studies from a jointly qualitative and quantitative point of view, with an emphasis on dynamics.

Description: This article describes the financial modelers’ manifesto. Focus is on how difficult it is to model financial instruments when there is a human element involved.

Description: This article discusses the reliance the banking industry placed on sophisticated mathematical models.

Description: This article addresses the concern that while risk assessment models are supposed to help identify and reduce risk, they can be a source of risk themselves. A new report released by the Canadian Institute of Actuaries in August 2008 helps address that potential problem by providing useful guidance to actuaries who are charged with designing, implementing and using advanced models.