The research question
Open-source asset-pricing research makes it possible to examine many published predictors with reproducible code. It also highlights how many reported anomalies weaken after consistent definitions and replication.
The useful question is not whether a chart once went up. It is whether the hypothesis has a clear economic mechanism, appears outside one hand-picked sample, can be reconstructed with information that was available at the time, and remains plausible after realistic implementation frictions.
Minimum viable rule
Standardize several economically distinct signals, combine them using a fixed rule and constrain concentration and turnover.
Universe: Large, liquid equities with point-in-time prices and fundamentals. A credible test fixes the universe, timestamps, missing-data policy and rebalance convention before model selection. Results should be shown both gross and net of an explicit cost model.
Implementation audit
Pre-register the included factors, normalization, missing-data rule, weighting and rebalance schedule. Report each component's contribution and the combined portfolio's turnover rather than presenting only the best composite result.
At minimum, an audit should report turnover, worst peak-to-trough loss, recovery time, exposure concentration and sensitivity to neighboring parameter choices. A strategy that works only at one exact lookback or threshold deserves a lower level of confidence.
How the idea can fail
A combination can hide correlated exposures and multiple-testing choices. Signal crowding, changing accounting coverage and unnecessary trading can erase the apparent diversification benefit.
Failure conditions belong in the strategy definition. They provide a disciplined reason to investigate or stop, instead of changing the story after a loss.
Primary source
Open Source Cross-Sectional Asset Pricing
Chen & Zimmermann (2022), Critical Finance Review 11(2), 207–264.
DOI record
This page is an independent educational synthesis. It does not reproduce the paper and does not claim that published historical results are currently achievable.