Inspired by Carlisle: The Acquirer's Multiple
TRADE-OFFCarlisle argues cheapness alone (EV / operating earnings) beats the Magic Formula because high returns on capital tend to mean-revert, so the quality rank adds little.
How this run differs from the source: Ranks on net income over market cap, not enterprise value over operating earnings, and keeps financials.
| THE STRATEGY | $SPXTR BUY & HOLD | |
|---|---|---|
| CAGR | 15.9% | 9.3% |
| Sharpe ratio | 0.75 | 0.66 |
| Max drawdown | -63.3% | -50.9% |
// GROWTH OF $1, LOG SCALE
Out-of-sample (from the split): CAGR 12.9% against 14.0% for the benchmark; Sharpe 0.81 in-sample, 0.65 out-of-sample.
After 25 bps of trading costs: 14.6% a year. EDGE OVER RANDOM
// DECADE BY DECADE
| ERA | STRATEGY | BENCHMARK |
|---|---|---|
| 1990s | 5.4% | 20.9% |
| 2000s | 19.0% | -0.8% |
| 2010s | 14.2% | 14.0% |
| 2020s | 16.8% | 15.2% |
// YEAR BY YEAR, LOSING YEARS IN RED
Losing years: 1998 (-1.0%), 2002 (-0.6%), 2008 (-40.6%), 2011 (-14.3%), 2015 (-4.7%), 2018 (-17.2%), 2020 (-4.7%), 2022 (-10.8%). Each cell: the strategy, then the benchmark below it. * a part year.
// THE IDEA, AS PUBLISHED
Tobias Carlisle, 'Deep Value' (2014) and 'The Acquirer's Multiple' (2017) · 2014
- Acquirer's Multiple = enterprise value / operating earnings (EBIT)
- Buy the 30 lowest multiples above a market-cap floor, equal weight
- Rebalance annually; expect ugly holdings
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 2026-11-07 08:43 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