The study evaluated different asset pricing models using consumption-based measures to predict stock market returns in Korea. By incorporating three consumption variables, the researchers found that the conditional CAPM with human capital performed better than other models in explaining stock returns. This suggests that considering consumption variables can help capture time variations in the risk premium and improve the accuracy of asset pricing models.