The article explores different ways to predict stock returns using economic and financial variables. By using multi-step nonparametric regressions, the researchers found that these models outperformed traditional methods like historical averages and Ordinary Least Squares. The new models were better at predicting stock returns both in-sample and out-of-sample, showing that certain variables can indeed predict excess stock returns.