DFAT — Dimensional U.S. Targeted Value ETF
| Factor | β | t-stat | Backtested % | Realized % |
|---|---|---|---|---|
| Size (SMB) | 0.862 | 17.25 | +1.51% | -5.38% |
| Value (HML) | 0.424 | 8.39 | +1.41% | +2.64% |
| Profitability (RMW) | 0.250 | 4.87 | +0.78% | +1.43% |
| Investment (CMA) | 0.021 | 0.33 | +0.06% | +0.04% |
| Momentum (UMD) | -0.028 | -0.76 | -0.20% | -0.13% |
| Factor-Beta subtotal · non-market | +3.56% | -1.41% | ||
| Alpha (intercept) | — | 0.59 | +0.95% | |
| Smart-Beta Net · Factor-Beta + Alpha | +4.52% | -0.45% | ||
| + Mkt-RF contribution · market | 1.006 | 35.77 | +6.10% | +7.17% |
| = Total excess return | +10.61% | +6.22% | ||
| + Rf base (%) | 4.44% → 15.06% total | 3.51% → 9.73% total | ||
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Factor decomposition shows what DFAT's historical betas would have earned under each scenario — not a forecast, not investment advice. Backtested simulation assumes loadings stay fixed across the long sample, which is unrealistic for any real-world fund. Use this as one input to ETF due diligence, not a substitute for it.
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