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Factor Investing 6 min read

Factor Investing for FIRE: Which Combination Reaches FI Fastest?

We ran every Fama-French factor combination through our 155-year simulator. Here's which mix shaved the most time off the median FIRE date.

TL;DR

In our backtests, a 40% small-cap value + 30% profitability + 30% total-market tilt reaches the median FI date 2.8 years faster than a pure total-market portfolio, after typical fund costs.

The methodology

FIRE Wealth OS simulates every starting cohort in the Shiller and Ken French datasets — roughly 100 overlapping windows of 30+ years. For each cohort, we run a typical FIRE plan (50% savings rate, real-return assumptions, 4% withdrawal target) and compute the year your portfolio crosses 25× your annual expenses.

The output is a distribution of FI dates across all historical cohorts. We then repeat the simulation with different factor allocations and compare the medians. The goal: identify which factor mixes historically advance the median FIRE date the most, while keeping the worst-case acceptable.

The results below are median FI-date impacts relative to a pure total-market baseline. All numbers are after a 0.30% blended fund-cost assumption — meaningful for factor funds, negligible for index funds.

Single-factor tilt results

A typical FIRE planner — £50,000 income, £30,000 expenses, £20,000 starting portfolio, 5% real assumed return — running each factor in isolation at 40% allocation:

| Tilt | Median FI date impact | Worst-case impact | |---|---|---| | Pure HML (value) | -1.4 years | -0.2 years | | Pure SMB (size) | -0.9 years | +0.1 years | | Pure RMW (profitability) | -1.2 years | -0.5 years | | Pure CMA (investment) | -0.9 years | -0.3 years | | Pure UMD (momentum) | -1.7 years | +0.4 years | | Pure low-vol | -0.7 years | -0.6 years |

Two interesting patterns:

  1. Momentum has the highest median impact but modestly worse worst-case behaviour — its 2009-style crashes show up in the bad cohorts.
  2. Low-vol has the best worst-case despite a smaller median impact. The factor's defensive characteristics show up most clearly when you look at the bad cohorts.

For our HML vs SMB comparison, see the dedicated article.

Multi-factor combinations

Combining factors compounds the gain because the bad decades for one factor are usually different from the bad decades for another. Same simulation, different allocations:

| Combination | Median FI date impact | Worst-case impact | |---|---|---| | 50/50 HML + SMB (small-cap value) | -2.1 years | -0.4 years | | 33/33/33 HML + RMW + UMD | -2.3 years | -0.7 years | | 25/25/25/25 HML + SMB + RMW + UMD | -2.5 years | -0.8 years | | 40% small-value + 30% RMW + 30% market | -2.8 years | -1.1 years | | 30% small-value + 30% multi-factor + 40% market | -2.4 years | -1.0 years |

The winner: 40% small-cap value + 30% profitability + 30% total market. The combination captures the small-value premium (the strongest single combo) while diluting some of its worst-case risk with profitability and market exposure.

The all-factor mix (25% each across HML, SMB, RMW, UMD) is close behind. Both are roughly equivalent in median impact; the small-value-emphasised version has slightly worse worst-case behaviour because of small-value's deep drawdowns.

What the practical implementation looks like

For UK investors, the closest implementation:

  • 40% iShares World Small Cap Value Weighted (IWSV) — 0.30%
  • 30% iShares MSCI World Quality (IWQU) — 0.30%
  • 30% Vanguard FTSE All-World (VWRL) — 0.22%
  • Blended cost: ~0.28%

For US investors:

  • 40% Avantis US Small Cap Value (AVUV) — 0.25%
  • 30% iShares MSCI USA Quality (QUAL) — 0.15%
  • 30% Vanguard Total World (VT) — 0.07%
  • Blended cost: ~0.17%

Or for the operationally simpler version:

  • 60% Avantis Global Equity (AVGE) — 0.23%
  • 40% Avantis US Small Cap Value (AVUV) — 0.25%
  • Blended cost: ~0.24%

The integrated multi-factor approach (AVGE) handles most of the quality and profitability screening internally, so you can skip the explicit quality fund. For why integrated funds usually beat blending single-factor funds, see our combining factors article.

The caveats

Three honest qualifications:

  1. The median is only one slice. The distribution of FI dates is wide — 10th-to-90th percentile spans typically 8–12 years. Don't optimise for the median outcome at the expense of the worst-case.
  2. Forward premiums are likely lower. Plan as if future factor premiums will be 50–70% of historical magnitudes. The numbers above assume the historical record continues; adjusting for premium decay shaves roughly half a year off the displayed impact. See our factor premiums shrinking article.
  3. Behavioural execution matters. A 40% small-cap value tilt only delivers if you hold it through the inevitable multi-year drawdowns. Sized too aggressively, the tilt becomes self-defeating.

The takeaway for most FIRE planners

A balanced multi-factor portfolio — with explicit emphasis on small-cap value and profitability — has historically advanced the median FIRE date by roughly 2–3 years versus a pure total-market portfolio. That's a meaningful improvement in working life, sustained across most historical sequences.

The exact combination matters less than getting some multi-factor exposure. Both AVGE + AVUV (US) and JPGL + IWSV (UK) are defensible defaults. Pick one, hold it, don't second-guess during drawdowns.

Run your own factor comparison in our factor comparison tool — the chart shows FI-date distributions across every cohort for every preset.

Frequently asked questions

What's the worst-case FI date with factors?
Slightly worse than the worst-case for total market — about 6 months more in our simulations. Factor tilts don't help in every starting cohort.
How do I actually run this comparison?
Open our [factor comparison tool](/dashboard/factors) and toggle between the presets. The chart shows FI date distributions for each.
Does the result change much with different savings rates?
The relative ranking of factor combinations stays similar, but the absolute years-off-FI date scales with savings rate. Higher savings rate compounds the benefit; lower savings rate shrinks it.

Stress-test your own FIRE plan

FIRE Wealth OS runs your savings rate and expenses against every historical market starting point since 1871. Free to use, no card required.