The study compared different models to predict stock returns and found that multifactor CCAPMs perform better than classic models. Time-series restrictions were tested, and the results showed that multifactor CCAPMs can explain expected stock returns more accurately. Some multifactor models even outperformed the well-known Fama and French three-factor model.