Description: Abstract: This paper examines the potential impact of increasing negative commentary by social media users in multiple forums, which can erode the “reputation capital” of a utility. It also offers an approach for successfully addressing that risk and integrating social media risk management practices into existing utility enterprise risk management (ERM) programs.

Description: The article makes reference to how the intervention by government agencies and institutions into the financial marketplace are creating distortions. This artificial tampering into market mechanisms will likely result in major financial dislocations down the road as natural economic forces (coined by the term "invisible hand") eventually are allowed to come into play.

Description: Four experts offer their views on why the life insurance industry as we've come to know it is disappearing and what will be different about the new industry evolving, including: more competition from other financial services providers, distribution changes, better use of technology, and consolidation.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2012. The report includes comparisons to the four previous surveys as well as a survey sent to INARM members in April 2008.

Description: Article Book Review The Future Of Risk by Calvert in The Actuary, December 1979, Volume 13, Number 10

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: Invites readers to submit topics on the theme of "This Time It's Different. Members will then be invited to submit essays for and against.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2013. The report includes comparisons to the five previous surveys as well as a survey sent to INARM members in April 2008.

Description: The paper o ers a simple framework for ranking the common reinsurance struc- tures in practice with the theory of stochastic orders. The basic idea is to slice the space of reinsurance structures into groups by expected loss cost to facilitate the comparisons within the group and between groups. Given the standard risk aversion assumption in economics, a spectrum of reinsurance structures with the same expected loss cost can be compared analytically with one another and sequenced based on their risk coverages under the convex order. The paper then expands the dimension of the comparison to groups of reinsurance structures with di erent expected loss costs, which can be ranked under the increasing convex order and the usual stochastic order. As such, the paper maps out the ordering for the entire space of reinsurance structures and presents it in a ma- trix format for quick reference. The implication

Description: Demonstrating that incentive maximization could lead to failure using game theory. This is illustrated by the optimum strategy for the Prisoner Dilemma single period, multi period and infinite period that could be mutually destructive or beneficial.