The research question
Does the ranking contain information once the universe, benchmark and implementation are made honest?
A study of equity valuation signals using fundamental information, where reporting lags and universe construction are part of the signal definition.
The technical work
Point-in-time panels, cross-sectional ranking, factor controls and walk-forward evaluation.
The challenge is to connect the economic idea to a precise, reviewable experiment. Data transformations, the moment of a decision and the interpretation of the resulting return series all belong to that specification.
What to challenge
These are evaluation considerations for this domain, not a checklist presented as already passed.
- Delisted names and historical membership
- Accounting publication lags
- Factor exposure versus incremental prediction
- Search multiplicity and realistic portfolio costs
The data boundary
Security-level returns, point-in-time fundamentals or features, corporate actions and delisting information.
Descriptions are intentionally high-level. Parameters, execution rules and non-public source data are not published here. Withholding an implementation is different from overstating its evidence.
The interesting question is not whether a backtest looks good. It is what would have to be true for the result to mean something.
For the broader framework, see validation. For the engineering context, see the research stack.