Inspired by Dreman: Contrarian Low-P/E
TRADE-OFFBuy companies that the market values at depressed multiples, especially low P/E, while avoiding a fashionable consensus-growth approach. The approach is explicitly contrarian and emphasizes diversification.
How this run differs from the source: The 30 lowest P/E re-formed monthly, with no size or financial-strength test; Dreman held for years.
| THE STRATEGY | $SPXTR BUY & HOLD | |
|---|---|---|
| CAGR | 16.4% | 9.3% |
| Sharpe ratio | 0.78 | 0.66 |
| Max drawdown | -61.2% | -50.9% |
// GROWTH OF $1, LOG SCALE
Out-of-sample (from the split): CAGR 13.2% against 14.0% for the benchmark; Sharpe 0.85 in-sample, 0.66 out-of-sample.
After 25 bps of trading costs: 15.2% a year. EDGE OVER RANDOM
// DECADE BY DECADE
| ERA | STRATEGY | BENCHMARK |
|---|---|---|
| 1990s | 5.1% | 20.9% |
| 2000s | 21.5% | -0.8% |
| 2010s | 13.0% | 14.0% |
| 2020s | 17.6% | 15.2% |
// YEAR BY YEAR, LOSING YEARS IN RED
Losing years: 1998 (-0.3%), 2008 (-41.0%), 2011 (-15.5%), 2015 (-3.7%), 2018 (-15.4%), 2020 (-0.6%), 2022 (-10.0%). Each cell: the strategy, then the benchmark below it. * a part year.
// THE IDEA, AS PUBLISHED
David N. Dreman, 'Contrarian Investment Strategy' (1979) · 1979
- Buy from the low-P/E group of medium and large companies
- Require a sound balance sheet (low debt, adequate liquidity)
- Diversify across many stocks and industries; sell as the P/E nears the market's
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 2026-11-08 03:06 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