Inspired by Fama and French: Value Factor (HML)
DATA VALIDATEDHigh book-to-market stocks earn a premium over low book-to-market stocks not explained by beta.
How this run differs from the source: Long only, the 30 highest book-to-market names; HML is a long-short factor across the top and bottom 30%.
| THE STRATEGY | $SPXTR BUY & HOLD | |
|---|---|---|
| CAGR | 16.6% | 9.3% |
| Sharpe ratio | 0.75 | 0.66 |
| Max drawdown | -67.3% | -50.9% |
// GROWTH OF $1, LOG SCALE
Out-of-sample (from the split): CAGR 17.0% against 14.0% for the benchmark; Sharpe 0.75 in-sample, 0.74 out-of-sample.
After 25 bps of trading costs: 15.4% a year. WITHIN RANDOM
// DECADE BY DECADE
| ERA | STRATEGY | BENCHMARK |
|---|---|---|
| 1990s | 5.5% | 20.9% |
| 2000s | 17.5% | -0.8% |
| 2010s | 12.4% | 14.0% |
| 2020s | 25.3% | 15.2% |
// YEAR BY YEAR, LOSING YEARS IN RED
Losing years: 2007 (-13.2%), 2008 (-41.8%), 2011 (-7.8%), 2014 (-0.5%), 2015 (-9.3%), 2018 (-11.6%), 2022 (-0.6%). Each cell: the strategy, then the benchmark below it. * a part year.
// THE IDEA, AS PUBLISHED
Fama & French (1992, 1993), JF/JFE · 1992
- Book equity (prior fiscal year) / market equity (December)
- Each June: 2 size groups (NYSE median) x 3 B/M groups (NYSE 30th/70th pct)
- HML = value-weighted high-B/M minus low-B/M, averaged across size; hold 12 months
A real computation on the QuantGPT warehouse, walk-forward. A study across the whole market includes only part of the companies that later delisted from 1998 (survivors only before); a study on your own list of tickers is not affected. Gross returns, no costs except where stated. Past performance is not a promise. Findings, not advice. COMPUTED 2026-11-06 16:07 ON THE QUANTGPT WAREHOUSE. COMPANIES THAT LATER DELISTED ARE ONLY PARTLY IN THIS UNIVERSE (A FIX IS IN PROGRESS), SO THE RESULT LEANS TOWARD SURVIVORS. FUNDAMENTALS BY FILING DATE. NOT INVESTMENT ADVICE. PRIVACY