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: The Joint Risk Management Section conducted its fourth survey of emerging risks in fall 2010 in light of the BP oil spill which brought the impact of various risk combinations to the fore.

Description: This is the SOA website page displaying the table of contents for Risk Management: The Current Financial Crisis, Lessons Learned and Future Implications series of essays.

Description: This article discusses how the industry as a whole is revisiting its risk management strategies in the wake of the financial crisis.

Description: This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models are complex macroeconomics models and have been increasingly popular in central banks for analyzing monetary policies.

Description: This session will present results of the most recent SOA/LIMRA studies of variable and fixed-indexed annuity policyholder behavior including withdrawal behavior, guaranteed living benefit elections and surrender activity. Conducted annually since 2006, a discussion on the results of these studies show how they have changed over time, as well as areas where the analysis will need to change or expand. After that, the presenters will focus on dynamic lapse for hot money businesses, which is an important topic for fixed deferred annuity. Key takeaways from this area will include an understanding how to differentiate between hot money and warm money, the different formulas used in the industry, and how to adjust an asset portfolio to protect against the risks associated with hot money businesses.

Description: Arguably, many of the fundamental contributing factors to the 2008 mortgage crisis involved misdirected incentives and misinformation available to key participants in the housing finance process. The incentives discussed here include those of the mortgage holders, mortgage intermediaries, mortgage providers, securitizers, raters and CEOs and other highly paid staff of those involved. Unless similar incentives are recognized, future public policy decisions will again fail to avoid this system-wide risk. Since I am most familiar with the U.S. situation, my comments will be limited accordingly.

Description: This article describes methodologies for detection and deterrence of Medicare fraud. It also describes the validation of PRIDIT for fraud detection in Medicare.

Description: Actuaries are increasingly being asked to incorporate Economic Scenario Generators into their work. Whether it be a Risk Neutral model for pricing or a Real-World version for Economic Capital modelling, using these tools can help produce a much more robust analysis. Unfortunately, these models and their underpinnings are also very complicated, which can lead to confusion. The presenters in this session will try to demystify some of this. In particular, they will address the following questions: • What is the difference between Real-World and Risk Neutral scenarios? • When should I use one or the other? • How are these models calibrated? • What are some of the misconceptions about these models?

Description: 2021 ImpACT Conference - Session 13E: Managing Cognitive Bias in ERM Processes 10.29.21 Recording