Description: Deciding where to spend that next dollar of capital is at the heart of financial management. Executive teams regularly grapple with decisions on whether to purchase a new Enterprise Resource Planning (ERP) system, invest in growing a distribution channel, expand into a new geographic area, or develop a new product, among many. The great news is there is no shortage of sound financial theory and logical rationale for making these transformational decisions. Yet business literature is filled with examples of decisions that did not meet expectations, sometimes materially missing the mark when comparing experience to assumptions. This is particularly the case with mergers and acquisitions, where multiple studies have shown that a sizable majority of such transactions do not achieve their intended outcomes. While some of the disappointing returns are attributable to random chance and unfortunate circumstances, a material number of them can be traced back to cognitive issues that arose during the decision-making process. Mental shortcuts or heuristics taken by individual decision-makers in evaluating information, as well as organizational dynamics such as groupthink both contribute to sub-optimal choices involving significant outlays of money. Being aware of these and having established protocols to mitigate against them can substantially improve decision-making around capital allocation and reduce misallocation of funds. In this session, the panelists discuss several common cognitive biases that can adversely impact the capital allocation decision process, introducing the notions of time, accounting convention, positivity, hierarchy, and social proof in describing them. Historical case examples of sub-optimal capital allocation are then explored, identifying the contributing behavioral factors including the simultaneous confluence of multiple factors. The panelists will close the session with several suggestions for attendees to consider for incorporation into their decision-making processes. At the conclusion of the session, attendees will be able to: - Learn common cognitive biases that impact capital allocation decisions - Differentiate which biases impact different aspects of the capital allocation process - Build awareness of biases affecting capital allocation decision models - Mitigate cognitive biases present in decision making processes

Description: In this session, we will examine AM Best's credit rating methodology, the evaluation of Enterprise Risk Management (ERM) Programs for insurers, and how ERM evaluations are incorporated into ratings. AM Best staff will present the results of a study of AM Best-rated health insurers' ERM programs.

Description: Session 2H: Reinsurance Market Update

Description: Analyze the market volatility behavior in context with historical extreme events during this webcast. There will be a focus on understanding volatility clustering and relationships, both contemporary and temporal, in addition to key economic and capital market variables. You'll also learn from a comprehensive attribution analysis, which uses economic data, asset data, retail investor data and event data as explanatory variables. Dive into investment-related Reddit comments used to capture features of retail investors and tree-based models, including Random Forests and Gradient Boosting Machines to justify changes in volatility modeling. Expect this webcast to end with an example of liability-driven investment optimization that illustrates the potential impact of increased volatility assumption, how to adopt stochastic volatility models, how to reflect volatility clustering and return jumps.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: This session will consider how catastrophic gaps in risk management practices contributed to the failure of regional banks in the first half of 2023. Panelists will explore ERM practices and potential corrective actions, based on insurance industry and pension plan best practices, that could have mitigated against the failures.

Description: ClubVita Session Series Longevity trend risk still exists even for the largest portfolios. Explore the differences in longevity improvements between different populations, how to categorize subpopulations with different trend risk characteristics, and how to use this categorization to reduce longevity trend basis risk.

Description: Global life insurance companies started to utilize both external and internal reinsurance for a holistic group-wide capital and risk management. This is more evident in increasing use of reinsurance affiliates in Bermuda and/or reinsuring business to Bermuda-based external reinsurers.Come explore how varying and often competing objectives of capital and risk management is balanced or optimized through the use of internal and external reinsurance from a view of global direct life insurance and annuity writers who will present cases and share their objectives, concerns, and experience in a relatively comparable structure. Presenters will have a brief panel discussion on a couple of hot topics such as on-going enhancement of Bermuda's capital and reserve regulatory framework and use of internal reinsurance.Get ready to learn practical and emerging views of insurers on the effective use of internal and external reinsurance for risk and capital management.

Description: The recent global pandemic, coupled with a rising interest rate environment, has emphasized the need for life insurers to be well-prepared for challenges on multiple fronts. Join industry experts in actuarial science and asset-liability management (ALM) as they discuss the significance of incorporating comprehensive pandemic modeling, mortality modeling, lapse modeling, liquidity analysis, and ALM strategies into the risk management framework of life insurance companies. Through case studies and interactive discussions, learn how to utilize systems and APIs from disparate risk models to integrate into an overall analysis to assess the short and long term impacts of the confluence of risk factors on your business, identify vulnerabilities, and implement proactive risk management strategies to enhance resilience and maintain long-term profitability.

Description: The surge in interest rates over the past few years presents opportunities for life insurers to enhance their Asset and Liability Management (ALM) positions through asset rebalancing to narrow the duration gap and secure higher risk-adjusted yields. This webcast introduces a robust, efficient and readily-executable, liability-driven strategic asset allocation (SAA) framework and implementation considerations. At the conclusion of the webcast, attendees will learn about the key objectives and practical considerations for a successful SAA.