The article discusses new ways to measure and predict extreme events in financial markets and economic growth. The researchers introduce a measure called TailCoR to capture both linear and non-linear correlations during crises. They find that co-movement among major US banks increased during the financial crisis due to both types of correlations. Additionally, they identify non-normal shocks in economic models to better understand structural changes. The study also uses a Bayesian model to predict Norwegian GDP growth.