The article discusses how stock returns are influenced by the risk of a company defaulting. By using a non-linear model that includes a measure of default risk and a quadratic term, the researchers found that this model can better predict individual stock returns compared to traditional models. The new model eliminates the need for certain factors used in older models and provides a different perspective on how stock returns are determined.