Rank-based portfolio optimization leads to less efficient returns than traditional methods.
The article explores using rank information to build investment portfolios. The study shows that portfolios based on ranks are less efficient than those based on traditional methods. The gearing ratio and weight changes of rank-based portfolios are lower. By controlling return probabilities, the performance of rank-based portfolios can be analyzed. Additionally, true returns may have autocorrelation, unlike sample returns.
