Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: Results of the 2020 survey on the effects of the Pandemic

Description: The problem and largest challenge with systemic risk identification and management is that high-risk activities and high-risk companies are often identified only with hindsight. This article identifies risk factors and proposes a framework for systemic risk management that can be applied in advance by regulators, company management, and other stakeholders

Description: The cyber insurance market looks like it’s growing—rapidly, in fact. However, there’s more to the cyber insurance market than the outward appearance of strong growth. Worldwide aggregate premium’s upward trend may even be cause for alarm. The increase in premium against a flat rate of insured exposure is a key sign that the market could turn from growth to constriction if a solution isn’t found in the near future. If the cyber insurance sector hopes to reach such lofty goals as exceeding $30 billion in global premium by 2028, it’s going to need more capital. Whether directly into the insurance sector or via support from reinsurance and retrocession, fresh capital should help insurers achieve greater market penetration, build a broader foundation for ongoing expansion, and chart a course for long-term sustainable profitable growth. The same sources capital insurers have used since the early days of the market won’t be enough, though. Thankfully, the insurance linked securities (ILS) market seems poised to help, particularly with several promising recent transactions. New sources of capital could bolster the foundation for future cyber re/insurance growth.

Description: Climate risk modeling is taking center stage. With businesses increasingly expected to show how they assess, adapt to, and mitigate the risks of climate change, companies are asking: What is the right climate risk modeling approach for our business?

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: Results of a Survey of JRMS members re claims changes due to COVID

Description: The Joint Risk Management Section's chairperson explains the Joint Risk Management Section Council members plans for the coming year, with a heavy focus on research and continuing education.

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: Chairperson's introduction to the Joint Risk Management Section (JRMS) February 2022 Risk Management newsletter. Includes a brief description of the JRMS section, summarizes the portfolio of benefits and continuing education opportunities available for those in the risk management profession, discusses the role of the JRMS Council to lead the efforts to provide those benefits and touches on changes underway.