The article examines how predicting future stock market returns and variance can be done by looking at forward variance and skewness. By using a method called Partial Least Squares, the researchers found that a higher forward skewness factor can forecast higher market returns better than a forward variance factor. However, the forward variance factor is more effective in predicting excess variance.