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

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: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

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: 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 first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

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: 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: This article talks about partnering with other risk professionals and the importance of research into the nature of risk and the responses to risk events.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.