Description: Economic Scenario Generator - Investment Section Web Series Session #2 - Real World This session will cover the following points: 1. NAIC ESG 2. Strategic Asset Allocation and Optimization Techniques 3. Covid-19 Postmortem: Modeling and calibration changes because of recent events

Description: Economic Scenario Generator - Investment Section Web Series - Risk Neutral

Description: Economic Scenario Generator - Investment Section Web Series Session #1 - Fundamentals & Hot Topics This session will cover the following points: 1. Introduction: ESG Basics, What is Risk Neutral and Real World? 2. Interest Rate Modeling 3. Equity and Private Equity Modeling 4. Example use cases facing investment professionals and actuaries today

Description: 1997 Valuation Actuary Symposium, Session 17 discusses market value measures and its uses in asset liability management.

Description: This session discussion is about methods for determining and adjusting contingency surplus. From Record of the Society of Actuaries Vol. 15, No. 2.

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: 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: Join us for the Pandemics & Paradigm Shifts: ERM in an Intensely Dynamic World panel discussion, where industry and regulatory perspectives will help provide insight into a number of topics. Expect interactive dialogue opportunities based on the conversation between the panelists and the audience. Key topics that will be conversed about, but the panel is not limited to, include a brief review of historical paradigm shifts and subsequent insurer failures, best practices and an outlook on the ultra-dynamic world of today and consideration of a company's enterprise risk management framework as it affects ratings and insurance department examinations.

Description: This session 112 PD of the Toronto Spring Meeting covers principles developed during the Unified Valuation System UVS project of the American Academy of Actuaries with support from the Society of Actuaries and the Financial Reporting Section of the SOA. From the Record of the Society of Actuaries, Volume 27, No. 2.

Description: Risk adjustment is needed under IFRS 17 to reflect the compensation that a company requires for bearing the uncertainty about the amount and timing of the cash flows that arises from non-financial risk. Companies are also required to disclose the method and confidence level used for the calculation of the RA. However, IFRS 17 doesn’t specify a method and a confidence level, nor does it provide a list of specific risks that are considered to be non-financial risk. Companies need to define them based on their own preferences or existing practices. This article will introduce available approaches and discuss the confidence level approach with potential consideration stemming from industry preferences and illustrative examples.