The evidence
A backtest of our own fair value model from 1992 to 2026, including companies that later failed, compared with the MSCI ACWI Equal Weighted from 2001. Hypothetical and chosen on the same history, with every caveat shown openly.
26 valuation modelsmodels 37 quality factorsfactors 6 AI factorsAI factors 2,000+ data pointsdata points 69 criteria per stock criteria →
Key findings
- From 2001 to 2026 the strategy returned about 11.7%/yr (median of the 12 decision months, 100 portfolios each), the MSCI ACWI Equal Weighted after ETF costs 8.6%/yr over the same days: a gap of +3.1 pp a year. The strategy was ahead in 12 of 12 months.
- Since 2009: 12.3%/yr against 8.3% for the MSCI ACWI Equal Weighted. Since 2016: 11.4%/yr against 8.1%, ahead of the index.
- Over the whole test since June 1992 the strategy returned 12.9%/yr, with failed companies included. A hypothetical backtest of our own model: the rules were chosen on this same history in October 2026. Past results never guarantee the future.
The rules of the strategy
- Fair Value at least 30% above the price
- Quality Score of 50 or more
- Uptrend: the price a month ago higher than twelve months ago
The strategy buys only stocks with all three checks. Among them, ranked 30% by upside and 70% by quality. 15 stocks, equal weight, at most 2 per sector, checked once a year.
- Sell in the optimistic range: the price reaches the optimistic Fair Value
- Quality break: the Quality Score falls below the median
- Review after 5 years
Market: MSCI ACWI Equal Weighted, every stock with the same weight, with dividends, in US dollars, over the same days, minus 0.25% a year in ETF costs. The strategy pays 0.1% per purchase and per sale. Only stocks, no funds, ETFs or trusts. Including companies that later failed; their Fair Values are estimated, the USA in the 1990s and Europe before about 2013 are incomplete. The headline figure is the median over all 12 possible review months, 100 portfolios each.
Periods
| from | Strategy | MSCI ACWI Equal Weighted | Gap | Months ahead |
|---|---|---|---|---|
| 2001 | 11.7% | 8.6% | +3.1 pp | 12 of 12 |
| 2009 | 12.3% | 8.3% | +4.0 pp | 12 of 12 |
| 2016 | 11.4% | 8.1% | +3.3 pp | 12 of 12 |
| 1992 | 12.9% | no comparison: the index starts in 1997, and failed US companies before 1999 are largely missing | ||
Per year, in US dollars, dividends reinvested, up to 2026. MSCI ACWI Equal Weighted after 0.25% ETF costs a year. Each row is the median over the 12 review months (100 portfolios each); "months ahead" counts in how many of the 12 review months the strategy was ahead of the MSCI ACWI Equal Weighted.
How it was tested
Risk, honestly
monthly portfolio value from 2001, median of all portfolios and decision months, against the MSCI ACWI Equal Weighted after ETF costs.
| Strategy | MSCI ACWI Equal Weighted | |
|---|---|---|
| Volatility | 18.7% | 16.9% |
| Max drawdown | −57.1% | −57.4% |
When we hold, when we rotate
Failed companies
The test contains companies that later disappeared from the exchange (bankruptcy, takeover, delisting), from the USA and Europe. They are held until their last trading day; after a collapse another 30 to 55% is lost (Shumway 1997). Where their annual reports are missing, they take the figures of a similar failed company; their Fair Values are estimated from surviving companies with similar quality, momentum and profit. In a cross-check the real annual figures of failed companies from 2010 were hidden and estimated as well: the result changed −0.3 over the whole period, by −0.4 since 2009 and by +0.4 since 2016, in percentage points a year; the estimate can shift the result slightly.
Academic sources
- Fama & French (1992, 1993): value and size premia (survivorship-free CRSP).
- Jegadeesh & Titman (1993): returns to buying winners and selling losers (momentum 12-1).
- Novy-Marx (2013): gross profitability premium.
- Piotroski (2000): F-Score, quality of value stocks.
- Asness, Frazzini & Pedersen: quality minus junk.
- Bessembinder (2018): most stocks underperform T-bills; a few winners drive all wealth.
- Shumway (1997): the delisting bias in stock returns.
Research & data
Dated data studies from the Fair Value engine, free to cite with attribution. Every study ships methodology, limitations and a CSV download.
Global market vs aggregate fair value: +13.5 % Global Equity Fair Value Report October 2026
Global market vs aggregate fair value: +14.8 % Global Equity Fair Value Report September 2026
Global market vs aggregate fair value: +34.6 % Global Equity Fair Value Report August 2026
Global market vs aggregate fair value: +34.6 % Global Equity Fair Value Report July 2026
Global market vs aggregate fair value: +33.8 %
Common questions
How did the fair-value model do in the backtest?
From 2001 to 2026 about 11.7% a year, the MSCI ACWI Equal Weighted after 0.25% ETF costs a year over the same days 8.6%: a gap of +3.1 percentage points a year, dividends reinvested, failed companies included. This is the median over all 12 months in which the portfolio can be reviewed once a year.
Are failed companies in the test?
Yes. 2,361 companies from the USA and Europe that later disappeared from the exchange are included and held until their last trading day. Their Fair Values are estimated; the USA in the 1990s and Europe before about 2013 are incomplete. Only stocks are tested: funds, ETFs, closed-end funds, trusts and SPACs are left out on both sides.
How risky was the strategy?
Since 2001 volatility was 18.7% a year (MSCI ACWI Equal Weighted 16.9%), the largest drawdown -57.1% (MSCI ACWI Equal Weighted -57.4%).
Is this a guarantee of future returns?
No. It is a hypothetical backtest of our own model, the rules were chosen on the same history. Past results never guarantee the future. Not financial advice.
Not financial advice. A hypothetical backtest of our own Fair Value model, stocks only, including companies that later failed (USA and Europe, their Fair Values estimated), dividends reinvested, in US dollars, compared with the MSCI ACWI Equal Weighted after 0.25% ETF costs a year over the same days. The rules were chosen on the same history. Past results never guarantee the future.