Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: Under long-duration targeted improvements (LDTI), there are a few insurance liability balances that now are required to be fair valued, market risk benefit (MRB). The session will start from all the applicable balances that are required to be fair valued under LDTI ((i.e., MRB, financial accounting statement (FAS) 133, value of business acquired (VOBA) upon business combination)). The session will use a case study to discuss some of the nuances and general considerations for an MRB, FAS 133 and VOBA balances for a business combination for an fixed indexed annuity (FIA) contract. The case study will discuss some MRB fair value considerations and followed by FAS 133 fair value techniques. It will go over VOBA fair value estimation by using actuarial appraisal method with a few twists (e.g., using market yield in generating distributable earnings is better than using book yield and adjusted to bring it to fair value later on).

Description: Suited for students, newly minted ASAs/FSAs, or those venturing into the realm of reserving, as well as seasoned actuaries in need of a recap, this session is a gateway to the mysteries of IBNR reserving, unraveling various methods and assumptions. Embark on a journey through the construction of claims triangles and the crafting of completion factors, delving into the enigmatic realms of seasonality, trend analysis, and outlier claims. Harness the principles unveiled to dissect a myriad of case studies spanning diverse products like major medical inpatient, outpatient, pharmacy, Medicare Supplement, dental, and critical illness. This session is your guide through the intricate world of reserving!

Description: Leveraging advanced technologies like Generative AI is essential for insurers looking to compete and drive business growth. In this high-level webcast, we discuss the transformative potential of Generative AI in actuarial work and how it empowers actuaries to become more efficient and effective.

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: Emerging Applications of ESG Methods offers ground-up insights on cutting edge applications of economic scenario generation. The course will focus on the incorporation of climate change risk in scenario modeling and investment applications of ESGs. The following topics will be covered: Approaches to climate risk modeling. Climate risk is very different than classical financial economic risk. Radical uncertainty is amenable to scenario analysis and lack of data. Building special deterministic scenarios that go beyond NGFS requirements as well as bespoke scenarios. Holistic Approach to Climate Risk Modeling. Overview of different Climate Risk Modeling Applications. Use of ESG scenarios for Strategic Asset Allocation (SAA). Liquidity risk management.

Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

Description: Learn to utilize one of the most requested skills in the actuarial science job advertisements. During this webcast, discover the benefits of programming, how to identify and explain complex technical information and ways to create stunning visuals with ggplot2, which exceed the capabilities of Excel. With your webcast attendance, you will receive a document with detailed explanations, codes and underlying data. Enjoy exercises which allow the creation of fully reproducible solutions. This means an easy reproduction of all presented plots learned during this webcast. Register and take the next step toward building enticing visualizations.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

Description: One common barrier to employing GLM modeling is the lack of sufficient data. This limitation often comes from the combination of the considerations in ASOP No. 25 “Credibility Procedures” and the fact that GLMs assign full credibility to the data. Explore the possibilities of credibility-based regression by expanding the intended purpose of modeling analysis from producing a single model as output to producing data insights, credible differences, and a range of reasonable models.