Description: Editor's note in Risk Management

Description: The speakers will discuss the replication of long-term options, including a discussion of issues such as liquidity, transaction costs, slippage, impact of policyholder behavior, and machine learning algorithms to improve hedge effectiveness.

Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.

Description: Abstract: This paper examines the potential impact of increasing negative commentary by social media users in multiple forums, which can erode the “reputation capital” of a utility. It also offers an approach for successfully addressing that risk and integrating social media risk management practices into existing utility enterprise risk management (ERM) programs.

Description: Essay reforming healthcare where participants have a vested interest in reaching the best answer.

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: Are you interested in discovering key characteristics and the market landscape in the finance industry? Do you want to learn more about decentralized finance (DeFi) with its opportunities, challenges and alternatives? Join us for the Decentralized Finance - Emerging Risks and Opportunities webcast. DeFi is an emerging financial system and its alternatives are a rapidly expanding sector. DeFi alternatives are regarded as an integral part to the support of the this developing ecosystem. Come to this rebroadcast of a webinar completed in Asia back in September where panelists explore DeFi risks and listen to a proposal of the risk classification framework. There is also a live Q&A afterwards.

Description: Combinations of risks are an important component of the Survey of Emerging Risks, now in its 15th iteration. Also known as risk clusters or compound risks, the most popular in the survey define threat multipliers, where a risk makes other risks worse. The top risks chosen are trended for the last 10 years, showing interesting cycles and discontinuities.

Description: Because of the short-term nature of most health insurance products, the sophistication of insurers’ capital modeling tends to lag that of longer tailed life insurers. Additionally, some health insurers treat required capital modeling as a compliance exercise. However, there is considerable value to insurers who take more thoughtful approaches to capital modeling and integrate their capital modeling outcomes into the strategic decision-making process. Gain an overview of common required capital measures, including the advantages and disadvantages of each, and see a demonstration on how some capital measures are deficient for strategic decision-making. In the second half of the session, you will examine a case study of the considerations, design, implementation, challenges and outcomes of integrating a complex economic capital model into the strategic decision-making process.

Description: Apart from their operating environment and the core risks they help others mitigate, organizations are largely impacted by behaviors--particularly those of their policyholders. This session builds on the first session in this series by considering how medical advances might influence policyholders, while also considering how agents/brokers, product design, and the economy can also be influencers. Weigh whether and to what extent behavioral uncertainties have been adequately integrated into the firms' assessments of business performance, both past and future. The presenters will also highlight activities being undertaken by firms to influence behaviors, in part building on the second session in this series by considering these activities through a regulatory lens. This session is for anyone interested in enhancing their understanding of uncertainty due to behavioral factors.