Academic audit
G-Score Investing
The G-score is a fundamentals-based growth-quality score from Mohanram (2005) that ranks stocks on profitability, earnings stability, and growth signals, buying high-scoring names and shorting low-scoring ones.
What we found
Rebuilt as a survivorship-free long/short and run through realistic costs and delisting outcomes, the G-score showed no growth-quality edge. Its risk-adjusted RF is negative (-0.91) and its worst year is also negative (-0.84), so it neither ranked stocks profitably overall nor held up in a bad year. The placebo test placed the real result at the 1.0 percentile, meaning random baskets did about as well or better, so what remained after costs and delisted names is consistent with noise rather than a factor.
- Data: survivorship-free 1077-name US common-stock panel, 2005-2026. Realistic modelled costs.
- Placebo / robustness test: real result vs random baskets or shuffled signals (real vs the 95th percentile of random)
Read the paper ↗
Research, not investment advice. “Validated” factor-legs are market-neutral diversifying building blocks with a losing worst year — none is a standalone tradeable strategy. Metrics are cost-aware and modelled (not live fills); the 2005–2026 test window is out-of-sample versus the source paper. Dollar figures are not returns and are omitted by design.