Description: This article is the second installment in a three-part series on economic scenario generators (“ESGs”). Part I was published in the November 2019 issue. Part II addresses critical considerations in selecting, building, using, and validating ESGs. The article discusses key criteria in understanding ESGs including: - Risk factors - Scenario type - Process and parameterization - Calibration - Number of scenarios - Timing considerations

Description: During March 2020, COVID-19 concerns escalated in the U.S. and lockdown measures were announced. Market returns in March 2020 were quite extreme and choppy, alternating between days of huge gains and losses. As investors prepare for the future, it is important to understand whether these volatility surges and sharp movements are understood and captured by commonly used models. In this article, we will explore equity market performance in 2020 using the S&P 500 Total Return Index (SP500TR) and the relevant equity modeling implications

Description: This article presents a case study that examines the implication of using real-world interest rate scenario generators with a block of fixed deferred annuities. We contrast cash flow testing results based on New York 7 deterministic scenarios to stochastic scenarios generated with the Academy Interest Rate Generator , as well as an alternative economic scenario generator designed explicitly to capture the risk of a persistently low interest rate environment and the transition to a rising interest rate environment.