Combining Ranked Factors into a Weighted Stock Score

Summary

The document addresses how to combine multiple stock-selection factors when they have different preferred directions. Its example asks how to score one factor from low to high and another from high to low, then rank securities by the average of their scores. The response points to an example that combines five-day return and price-to-earnings ratio using a weighted average and ranks stocks by factor values each day.

This illustrates a basic factor-ranking workflow: orient each factor so that its ranking reflects the desired preference, combine the resulting scores with chosen weights, and sort the universe by the composite value. The source does not explain score normalization, tie handling, missing data, weight selection, or whether the example uses rank scores versus raw factor values. It also provides no portfolio test or performance evidence, so it is a conceptual starting point rather than a validated factor strategy.

Key ideas

• A composite stock score can combine factors with different preferred ranking directions.
• Factor rankings must be oriented consistently before aggregation.
• The example response describes averaging return and valuation factors and ranking stocks daily.
• The source does not specify normalization, weight selection or data handling.
• No backtest evidence is provided for the described combination.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.