Academic audit
Value (Book-to-Market) Factor
The classic value factor sorts stocks on book-to-market and goes long the cheapest names against the most expensive (Fama-French HML). This page reports our own out-of-sample retest of that sort, not the original paper's result.
What we found
In naive decile form the value premium was absent to negative over our 2005-2026 sample: the long/short leg finished net-negative, with a risk-adjusted RF of -0.72 and a worst-year RF of -0.87. The effect that Fama and French documented did not reappear in this window under a simple, mechanical book-to-market sort. We did not carry this leg forward as a diversifying building block, because it did not clear the basic requirement of being net-positive after costs.
- 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.