Description: An Allstate–specific risk framework based on executive interviews and research conducted by the team.

Description: The presenters will discuss the current interest rate market environment and what insurance companies can do to best protect themselves from interest rate risk. The presenters, industry leaders in financial risk management, will explore how different products and strategies—including swaps, options, and other derivatives—are being used in today’s market. The discussion will include how to model and measure interest rate risk, how to quantify hedge effectiveness, and how to improve hedging operations.

Description: Presentation from the Actuarial Research Conference describing risk management at a leading Canadian Bank.

Description: Regime switching models have become a popular tool in econometric time series modeling since their introduction in Hamilton [1989].These models have been widely applied for equity-returns for investment guarantees. A prominent risk management challenge is hedging these guarantees, given the equity regime switching process. This presentation develops some methodologies for regime-switching portfolio replication and use real world data to demonstrate and evaluate their effects. A Bayesian approach for regime switching model fitting is used, which allows for the examination of the robustness of each of the optimization methods when parameter uncertainty is present.

Description: Since the issuance of IFRS 17 in 2017, the global insurance accounting standard, insurers across the globe have been making huge investment in assessing the impact and implementing the new standard. In late 2018, FASB issued ASU 2018-12 that revises key elements of the U.S. GAAP measurement models and disclosure requirements for long-duration contracts issued by insurers (also called FASB Targeted Improvements). Both standards are becoming effective 1/1/2021 (though IFRS 17 may potentially be deferred by a year). U.S. insurers that have international parents or subsidiaries, and report under a multi-GAAP environment will likely have to adopt both standards. By now most insurers should have nearly completed impact assessment for IFRS 17, designed road map for or have started the implementation journey. With the new U.S. GAAP requirements becoming effective concurrently, it is important to embark on the implementation journey with both standards in mind, and maximize the synergy to achieve cost-saving and design efficiency. This session will briefly introduce the two standards with a conceptual comparison, along with a discussion on where efficiency and synergy can be achieved in a concurrent implementation.

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: 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.

Description: Model Risk Management continues to be an evolving area for insurers to be considering. This has grown from both internal and external forces and may require a different format to previous model risk frameworks held by insurers. Furthermore, there are a number of trends emerging that we believe will drive an increased focus on insurer’s model risk management frameworks such as technology automation, ever increasing data sources, and the use of predictive models. Risk management and the development of models is an area where insurance companies have performed well in the past. It is expected that frameworks currently exist within companies; the governance, documentation, validation and control of model risk are likely to be well established practices. The challenge that insurers must consider is how well these have been adopted throughout the company for all models used to make business decisions and if the same level of rigor has consistently been applied. Regulation in a high-velocity actuarial environment will to be a challenge that actuaries must spearhead and must be proactive in guiding rule making to ensure continued innovation while putting data security and risk management first.

Description: These are the presentation slides for Risk Management Education by R. Brown found in the January 2006 ARCH.