Does exploiting factor information to build a portfolio of stocks improve performance?
Suppose our target return is 0.0169 per month. This return lies in the relative stable region of the minimum variance variance scatter plot.
Experiment 1: Traditional Markowitz
Step 1: Uncheck Factor Model and leave Allow Short Sales checked.
Step 2: Click on Calculate Portfolio
Step 3: Set Block size to equal 100, and the drop down to Optimized. Finally, click on Backtest.
Results:
The realized average return is 0.00635 (Target = 0.0169), realized volatility 0.04714 (Target = 0.0485).
Experiment 2: Factor Model
Step 1: Check Factor Model and leave other inputs as is.
Step 2: Click on the button Calculate Portfolio.
Step 3: Click on Backtest.
The realized average return is 0.01402 (Target = 0.0169), realized volatility 0.04662 (Target = 0.0216).
Clearly, experiment 2 dominates experiment 1 strictly (risk and return).
You can check the robustness of the above finding by varying the target return above and below 0.0169 and repeating the two experiments.
Note: Be sure to delete the existing return number beside Target, enter a new target return number followed by Enter (or Return) key.