Description: In this webcast, presenters will outline the key content in ERM ASOPs 46, 47 and 55 and explore the impact each ASOP has on practitioners working in these fields. We will also describe the revision work currently under way in the ERM Committee of the Actuarial Standards Board.

Description: Pricing is a central activity of actuaries to assure solvency and to manage risk. Life insurance is also a social good, not just a product, and the US population is massively underinsured. Pricing must strike a balance. Unlike a simple 4x4 matrix to produce pricing, today's technology offers the ability to evaluate literally thousands of variables, enabling a kind of precision pricing. It also heightens the possibility of introducing bias and discrimination through the use of unregulated third-party data.

Description: This report examines the use of a copula approach to build a predictive model to estimate the amount of economic capital a life insurance company needs to protect itself against an adverse movement in interest rates, mortality, and other risk drivers.

Description: How adopting a risk champion model can help insurance companies, create a clear distinction between the first line and the second line of defense and ensure proactivity in identifying and addressing risk

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

Description: Economic risk analysis has two dimensions: time and frequency. Asset return varies by time because of economic cycles and economic structural changes. Risk is higher during economic recessions and smaller during economic expansions. In addition, different economic structures may exist at different time scales. Risk measures calculated based on daily, weekly, monthly and yearly historical data can be very different. The appropriate frequency depends on the time horizon of the analysis. Therefore, it is important to measure economic risk at both the time level and the frequency level. However, time series analysis and statistical analysis that have been widely adopted in economic risk analysis focus on only one of the two dimensions. In this paper, wavelet models are used to enhance both time‐invariant analysis and time‐variant analysis. Wavelet models can systematically analyze risk by time and frequency and provide richer information than time series models. Using wavelet models, risk measurement can easily be adjusted based on time horizon in a consistent way. Equity VaR estimation is selected to demonstrate the application of wavelet analysis in risk management.

Description: 2021 ImpACT Conference - Session 5A: Pandemic Rewind: Risk Management and Scenario Modeling Learnings 10.26.21 Recording

Description: 2021 ImpACT Conference - Session 14A: Credit Risk & Small Diverse Businesses Within Underserved Communities 10.29.21 Recording

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

Description: The management of The Guardian Life Insurance Company of America Guardian decided during 2006 to perform an economic capital EC analysis, with results to be delivered in the spring of 2007. A second generation EC analysis EC 2.0 was conducted from fall 2007 through spring 2008. This article describes EC 2.0.