Description: An overview of the articles in the August 2012 issue of Risk Management and a list of winners of the most recent call for papers, “Risk Metrics for Decision Making and ORSA.”

Description: The article is based on a study of causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency.

Description: In this article, we provide practical guidance for understanding how to develop and apply an effective risk appetite statement.

Description: The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning with an application to risk management. The method relies on typical ANN components such as nodes, activation functions, and optimization through gradient descent.

Description: When companies engage in risk management activities, they can be seen as modifying their distributions of future outcomes. Often, this takes the form of trading off a sure cost for a decrease in some potential risk of loss. Companies may carry out these activities with several goals in mind, such as reduction in earnings volatility or preservation of capital. This paper will demonstrate a method for evaluating possible strategies by dividing the effects on costs and risks into three tranches: earnings, impact and estate. The tranches can be associated with different interests of the various stakeholders. This trifurcation analysis can help to explain the risk-reward trade-offs of different risk treatment alternatives and can aid in risk-related decisionmaking.

Description: Strategic Risk Management was given lower priority in a recent survey of ERM Objectives. This article tells how the author believes that recent events have caused many to shift to a more short term focus and in the future there will be a shift back to a priority for the longer term view that stands behind Strategic Risk Management when the environment settles down and things again seem to be more predictable.

Description: In this article the author discusses pegging, the history and Impact on insurance industry from risk perspective

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: This article highlights some of OSFI’s expectations regarding the ORSA process, and provides general feedback and observations from OSFI’s reading of 2014 ORSA reports (including KMR) and discussions with insurers.

Description: The editors provide highlights of the articles included in the August 2015 issue of Risk Management.