Description: This is the input data for the R programs used to develop the examples for the research report “Extreme Events for Insurers: Correlation, Models, and Mitigation by Kailan Shang and Marc Vincelli

Description: This is a table from an article in The Actuary Magazine entitled An Analysis of Risk Management Terminology - Your guide to speaking ERM with different industries.

Description: This is a table from an article in The Actuary Magazine entitled An Analysis of Risk Management Terminology - Your guide to speaking ERM with different industries.

Description: Interest rates rose from 2004 through 2007, so adjustable mortgage rates increased and many borrowers fell behind. After home prices topped out in 2006, speculators and some buyers who had overstretched found it impossible to refinance. This caused mortgage insurance claims. Insurers may want to study others’ missteps.

Description: We will determine the role of risk function in evaluating operational risks associated with the implementation of LDTI and any system conversions. Are all models validated by the risk function before they are productionalized and results used by management to make business decisions? Does the risk function play a part in to assist finance, actuarial and investor relations in communicating changes and volatility resulting from LDTI? If not, should it? We will articulate the role that risk functions play in being part of large transformation from the start as a stakeholder/input provider to subsequently being an independent reviewer (i.e., second Line of defense).

Description: Recurring column that lists recent publications in risk management of note to readers.

Description: Recurring column that lists recent publications in risk management of note to readers.

Description: As sponsored by the Canadian Institute of Actuaries (CIA), Casualty Actuarial Society (CAS), and Society of Actuaries (SOA), the study looks at causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency. Further, this study considers ways the profession can be equipped to prevent or mitigate future insolvencies. In addition to directly benefitting the profession, the work is also intended to assist other insurance industry practitioners in understanding the complexities of insurance company solvency and the benefit of keeping the actuarial profession in the forefront of company management, operations, and regulatory communication

Description: In this article, the interviewers will discuss the pros and cons of centralized modeling function vs a business unit based modeling function. Their experience will help us in identifying factors in contributing to a successful centralized model function and understand how to set expectation with modeling stakeholders.

Description: This paper highlights how incorporating risk management into the planning process assists the entrepreneur in gaining a better understanding of the business system and analyzing and managing operational risk.