Description: "On the decomposition of mortality models into causes of death – Andrés M Villegas Ph.D – UNSW Australia, Madhavi Bajekal, Ph.D.,HONFIA, University of London, UK, Steven Haberman, Ph.D. – Bayes Business School, University of London, UK Forecasting cause-specific mortality rates using the insights from the cointegration analysis, Séverine Arnold, PhD, Viktoriya Glushko, Department of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Switzerland"

Description: Some research implies that micro SDOH-related risk factors can influence a significant proportion of an individual's overall health outcome. Contained in SDOH are items such as mental health, ongoing social connection and interactions, transportation, financial confidence, and other items.

Description: General Session III – The Ageing Process: From New Technology to New Medicine

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.

Description: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and enforce management.

Description: Harnessing the transformative power of recent accounting changes, US GAAP LDTI in the US and IFRS17 globally, insurers around the globe are embracing changes in their operating models. These changes impact areas of processes, technology, data, and, arguably most importantly, people. As insurers continue to evolve and streamline their financial reporting processes under the new standards, many have identified needs for organizational transformation to align actuarial, finance and technology teams in a cohesive manner to support the new financial reporting requirements.

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: As actuaries, we're trained to see patterns in numbers and to design solutions that mitigate risk. While quantitative analysis and modeling are critical actuarial tools, looking at the numbers alone can lead to insurance products that don't succeed in the real world the way math says they should. With new digital technologies surfacing in the insurance space, we have more data at our fingertips than ever before, leading to a higher focus on doing quantitative research within insurance product design. Take back a step from quantitative research and discover qualitative research methodologies into your product development process to design solutions that meet real needs in the market. In a nutshell, qualitative research can surface issues early and help you answer questions such as: Can we really sell this product in the market? Why would someone buy this? How widespread is the need? How could your product be a solution you didn't intend?

Description: This session will review what is going on in the life insurance market. Make sure you are up to date on sales, distribution, product innovations, regulations, inforce management and changes happening in the life insurance space. At the end of the session, attendees will be able to identify what's happened in the life insurance market, explore where the market is heading and identify areas of risk that are opening up due to changes occurring the life insurance space.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied by overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner. This rising tide of AI means that it is imperative for U.S.-based insurers to address these emerging risks within their model risk management (MRM) frameworks. Regulation also continues to evolve in this space: in Canada, the Office of the Superintendent of Financial Institutions (OSFI) revised Guideline E-23 to instill more detailed model risk management standards; in Bermuda, the Bermuda Monetary Authority (BMA) has published CP2 to add increased scrutiny on the data and models used by insurers. Insurers must react: MRM frameworks require prudent revisions to reflect these ever-changing landscapes of risk. Reassessing the core pillars of MRM frameworks-risk measurement, model development, validation, monitoring, and governance-is key to understanding the consequences of these evolving market changes on insurers' risk profile. Overall, the inclusion of these new tools into the world of insurance necessitates a thorough examination of insurers' MRM frameworks in order to align these new risks with core MRM principles. In this session we will: - Reflect on recent drivers of change and how they should be considered in the context of MRM - Explore best practices as it relates to MRM frameworks in the context of current global trends - Describe challenges, success stories, and lessons learned relating to recalibrating and embedding MRM frameworks