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.

Description: A response to the comments on the paper.

Description: Feature article describing what makes a company a systemically important financial institution and the new rules those companies will have to follow.

Description: A discussion of the hidden costs of administering complex Products including operational inefficiency, product development constraints, increased time to market, inability to monitor experience, and lost cross selling opportunities among other things

Description: Many top-performing businesses aren’t just risk aware, but rather risk intelligent. Such a posture helps prepare companies for a major event and can demonstrate to a regulator or auditor that an appropriately strong control framework is in place. Better still, companies gain real strategic value from a “risk adjusted” understanding not only of their threats and vulnerabilities, but also the upside opportunities associated with various risks. It starts with having both qualitative and quantitative information to identify, assess and manage risks. Strategic risk management, at its core, is about creating value by increasing transparency and accountability, and quality of information. More than a mere compliance exercise, effective risk management enables more informed strategic decision making, increased accountability and transparency, a greater likelihood of organizational success, and – ultimately – competitive advantage, as borne out by many studies that correlate risk management and financial results.

Description: Feature article that defines strategic risk management (SRM) and discusses ways to design and optimize a company’s SRM process.

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: Introduction to essays advocating for incentive compensation linked to the level of risk in an organization.

Description: This paper introduces a re-rating formula which calculates proposed rates directly by means of fully developed and trended loss costs and current class differentials. From 2007 Enterprise Risk Management Symposium, M-AS07-1.