The article examines how to estimate expected returns on assets using linear factor models. By combining beta and lambda, the researchers found more accurate estimates of risk premiums for individual assets. These estimates were more precise than using historical averages. When factors are traded, there is no bias in expected return estimates. Using factor-model-based estimates improved the performance of optimal portfolios in real-world scenarios.