Description: This paper provides an overview of those cognitive biases most often responsible for flawed risk assessments and provides practical techniques to mitigate them. Through a combination of mathematical rigor, case study, metaphor, and logic, the author highlights systematic errors in our thinking about risk and provides ways to avoid them.

Description: A sound enterprise risk management (ERM) framework functions as an ecosystem by balancing the interdependencies of its elements while constantly adapting to an ever‐changing, external environment. Each stakeholder has a unique role to play in forming a thriving ERM ecosystem by integrating risk‐conscientiousness in decision‐making. A resilient ERM framework has a single well‐ understood risk language and culture to promote healthy risk‐taking behaviors. The central focus of such a framework is concentrated around all stakeholders and everyone is held accountable. Every day, external forces can potentially disrupt how we operatively conduct business. Unforeseen changes in regulation, market trends, terrorist’s attacks and extreme natural disasters are often categorized as extremely adverse. How then will your ERM ecosystem survive the one‐in‐200 event and continue to flourish through dynamically changing environments?

Description: Essays advocating for incentive compensation linked to the level of risk in an organization.

Description: Reminding that incentive compensation needs to hit the target on average, needs to have variability related to the level of control over company’s fortune and ensure people are participating.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

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: An exploration of Canada’s federal regulator of financial institutions (OSFI) and its more formal assessment of the actuarial function of insurers.

Description: The letter from the editor discusses some recent loss events driven by model error and provides an overview of the articles in this issue of Risk Management.

Description: The editors provide highlights of the articles included in the April 2016 issue of Risk Management.

Description: This abstract describes a paper that proposes the use of the Co Conditional Tail Expectation 'CoCTE' to measure systemic risk and endogenizes the pro-cyclicality of capital requirements.