Description: Leading enterprise risk management ERM actuaries identified the top 11 areas of risk of 2011 and will provide monthly insight on how ERM programs can be used to hedge against those systemic risks. 'A realistic outlook on the probability of impending natural disasters and their associated risks will help businesses and individuals better prepare, helping to lessen the severity of impact on the global economy while also seizing opportunities to help those in need.' From the Bubble Risk Bulletin-June 2011.

Description: A focus on the capital markets perspective and some of the products dealers offer to hedge and help mitigate capital costs and tail exposure risks. From The Actuary Magazine, April/May 2005

Description: The mismatch between how interest rate impacts the value of assets and liabilities could have material negative impact to companies’ earnings and surplus. To quantify and mitigate the impact of such mismatches, companies have used matching a combination of duration and convexity. I will review these measurement techniques and their limitations.

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: This article discusses challenges in innovation, governance, and balancing the tension that naturally arises between them. Company culture is often a driver of success or failure in innovation. This article outlines a new dynamic to address this challenge.

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

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

Description: The article summarizes the SOA survey conducted of risk professionals regarding their understanding of important risk terms. The results contain perceptions by individuals and also firm-level information. Survey responses clearly demonstrated high differences in risk definitions.

Description: Models are a staple of an insurance company's operations. However, models that are not appropriately governed may lead to underpriced products, under-funded reserves, unfairly treated customers, and potentially catastrophic operational, legal, and reputational risks. Model Risk Management (MRM), an essential component of an insurer's ERM function, needs to keep pace with the rapidly evolving model ecosystem to limit model risk and produce results that management can trust when employing company strategy. With the adoption of ASOP #56, emerging technologies, and regulatory changes such as PBR, LDTI and IFRS 17, it is increasingly important for MRM frameworks and processes to adapt, upgrade and evolve. Discuss insights on how to embed ASOP 56 into Model Risk Management (MRM) and assess the design, development, modifications, and validation of actuarial models, the advancement of analytics and technology that empower insurers for process optimization and automation, as well as the the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. Go over use cases on enhancing MRM in the context of ASOP 56, technology, and model governance. Explore how automation and optimization of the MRM process will allow companies to realize the strategic benefits of MRM, ensure successful adoption of regulation changes, and the pros and cons of emerging technology on MRM. By attending the session, you will be able to: - Describe how ASOP 56 can help improve MRM processes. - Describe the key components, stakeholders, best practices, and strategic benefits of a comprehensive MRM framework. - Identify where and how to use technology to automate and optimize the MRM process. - Evaluate the impacts of emerging technology on MRM.