The article discusses how to estimate the volatility of factors like size, value, and momentum in asset pricing models. Traditional methods like realized volatility don't work for these factors, so the researchers developed a statistical approach. They found that this new method is more effective than using squared returns for predicting market volatility and making portfolio allocation decisions based on volatility timing.