FIW vs IJH
These US-listed equity ETFs share verified FF6 US factor exposure. The modeled volatility of their factor-return difference is at or below 3% annualized on both the same 36-month window and a longer factor-history check.
The score is 100 for identical fitted exposures and 80 at the 3% modeled tracking-error limit. It includes market and non-market factors; it does not indicate which fund earned or is expected to earn more. How to read this score.
Quick Read
- IJH has the higher backtested relative Sharpe (0.997 vs 0.938).
- IJH has the lower published fee (0.05% vs 0.51%).
- FIW is cheaper on dividend valuation (91 vs 104, where 100 is each fund's historical median).
- IJH has the stronger regression fit (adjusted R-squared 0.940 vs 0.825).
These are screening signals, not a complete review of portfolio construction, turnover, taxes, or trading quality.
IJH
Market beta uses the common 36-month window through 2026-08. Adjusted R² and relative Sharpe describe each fund's separately published full-history model.
Factor Exposure Match
Blue bars compare factor beta magnitude from the same 36 months shown above. Green bars compare absolute t-stat strength; dim bars indicate |t| below 1.96. Every factor enters the distance calculation regardless of its t-statistic.
What Happened Over the Same 36 Months
IJH ahead by 6.32 percentage points/year over 2023-09 through 2026-08. This is the observed difference between annualized compounded returns from adjusted prices, not an expected return or a factor-model estimate.
Historical factor attribution
Signed contribution to FIW minus IJH, percentage points/year, using fitted 36-month exposures and average factor returns over those same months:
This arithmetic-average factor attribution excludes the regression intercept and fund-specific return. It therefore need not equal the observed CAGR difference and is not a forecast.
Why This Pair Matches
Fitted exposures and factor covariance estimate the volatility, not the average or direction, of the funds' modeled return difference. The common regression window is 2023-09 through 2026-08. A short-window estimate and a longer factor-history check must both be at or below 3.000%; this is a screening limit, not a forecast. Holdings, turnover, taxes and trading costs require a separate review. The Sharpe figures elsewhere on this page come from each fund's published full-history model and do not enter similarity ranking. See the full methodology.
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