BFOR — ALPS Barron's 400 ETF
| Factor | β | t-stat | Backtested % | Realized % |
|---|---|---|---|---|
| Size (SMB) | 0.525 | 12.87 | +1.01% | -1.24% |
| Value (HML) | 0.189 | 4.97 | +0.65% | -0.21% |
| Profitability (RMW) | 0.241 | 4.78 | +0.76% | +0.78% |
| Investment (CMA) | -0.093 | -1.69 | -0.28% | +0.08% |
| Momentum (UMD) | 0.066 | 2.29 | +0.47% | +0.18% |
| Factor-Beta subtotal · non-market | +2.61% | -0.41% | ||
| Alpha (intercept) | — | -1.37 | -1.72% | |
| Smart-Beta Net · Factor-Beta + Alpha | +0.89% | -2.14% | ||
| + Mkt-RF contribution · market | 1.002 | 41.78 | +6.08% | +12.07% |
| = Total excess return | +6.96% | +9.58% | ||
| + Rf base (%) | 4.44% → 11.41% total | 1.71% → 11.29% total | ||
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Factor decomposition shows what BFOR'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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