The cards separate the fund's live record from the longer factor history used for the backtest, then show model fit, cost, valuation, and risk-adjusted results.
Age
19.3 years
2007-May → 2026-Sep
Long live record
Backtest Basis
63.2 years
1963-Jul → 2026-Aug
Full long-run factor record
Adj. R²
0.895
Good model fit
AUM
US$1.1B
Mid-sized live fund
MER
0.60%
High cost
Dividend valuation
82
Inexpensive
82
80 90 100 110 120+
2.26% Trailing 12-month yield
100 = median · below 100 inexpensive · above 100 rich Dividend valuation scale
Backtested Rel. Sharpe
0.88×
Below market hurdle
R
0.5 1.0 1.3 1.8
Relative to a plain market benchmark. 1.0 = market-like risk-adjusted return; above 1.0 clears the market hurdle.
Smart-β Net
+1.52%
Positive value-add
S
-3% 0% 2.5% 4.5%
Annualized non-market factor contribution plus alpha. Above 0% means the smart-beta sleeve added value over plain market exposure.
Implementation: Core equity. No deterministic enhanced-income or derivative-income mandate detected.

What FXO Is

FXO (First Trust Financials AlphaDEX Fund) from First Trust is a US equity ETF with $1.1B in assets, regressed on the FF6 US over 231 months. The fund tilts toward size (smb) (β=0.28); tilts toward value (hml) (β=0.69); tilts away from investment (cma) (β=-0.25). Backtested-simulation excess return is +7.49% annualized; the in-sample realized excess was +6.92%.

Why FXO Ranks This Way

  • Backtested relative Sharpe is 0.88, below the market's 1.00 benchmark.
  • Realized relative Sharpe is 0.56 over the fund's 231-month live sample.
  • Strongest non-market tilts point toward value (hml) (β=0.69) and toward size (smb) (β=0.28).
  • Dividend valuation is 18% cheaper than its historical median (82 on the 100 scale).
Best-fit classification
US Equity FF6 US Regression basis: USD Adj. R² 0.895 Fit window: 231M Backtest basis: 758M

This fund is classified as US Equity because that factor set produced the strongest accepted fit. Backtested figures use the winning model's full factor history (1963-Jul → 2026-Aug, 758 months), while the betas themselves are estimated over the fund-overlap window (231 months).

Factor return decomposition
Each bar = βi × factor return, geometrically annualized. Summary rows are computed from the combined monthly series they name.
Model: FF6 US
Sharpe — Backtested Sim.
0.448
Rel. to market: 0.878
Sharpe — Realized
0.325
Rel. to market: 0.559
How are these computed?

Currency basis: returns and factor contributions on this page are in USD. Fama-French US 6-factor set (Ken French data library, monthly, USD basis).

Classification winner: FF6 US with Adj. R² 0.895.

Factor context panel: each non-market row compares the current fund with stronger-fit public peers using FF6 US. Beta mode shows raw loadings, percentile mode ranks the fund within the positive-exposure subset, and the linked ticker points to the strongest peer in that factor.

Backtested Sim. applies FXO's regression betas to the full factor history (1963-Jul → 2026-Aug, 758 months). Individual factor bars show separately annualized sleeves, while the subtotal rows are computed from the combined monthly non-market and smart-beta series directly. The Sharpe uses FXO's realized in-sample volatility as the denominator — a deliberately conservative choice, since fixed-loading factor returns are smoother than what any real fund actually delivers.

Realized applies the same betas to the factor returns observed during FXO's lifetime only (2007-Jun → 2026-Aug). The Sharpe is the fund's actual excess return over its actual volatility. Full methodology →

Factor exposure context
Each non-market row compares this fund with stronger-fit public peers using FF6 US. Toggle between raw factor beta and percentile rank within the same positive-exposure peer set.
Compared against 334 funds using FF6 US
Peer filter: Equity · AUM floor · 24M+ history · Adj. R² > 0.80 · |βmkt−1| < 0.25 · Non-Mkt > 0
Default view is percentile rank. Switch to β scale when you want the raw loading magnitude.
SMB
-0.30
0
0.24
0.47
0.71
0.95
0
20
40
60
80
90
100
0
2
4
6
8
10
12
β +0.28
43rd pct
t +4.8
Current fund: 43rd percentile of positive peers · Top decile begins at β +0.88 · Leader: AVSC
HML
-0.30
0
0.24
0.47
0.71
0.95
0
20
40
60
80
90
100
0
2
4
6
8
10
12
β +0.69
97th pct
t +12.2
Current fund: 97th percentile of positive peers · Top decile begins at β +0.41 · Leader: KBWB
RMW
-0.30
0
0.24
0.47
0.71
0.95
0
20
40
60
80
90
100
0
2
4
6
8
10
12
β -0.01
rank n/a
t -0.1
Current fund: non-positive loading · Top decile begins at β +0.27 · Leader: QVAL
CMA
-0.30
0
0.24
0.47
0.71
0.95
0
20
40
60
80
90
100
0
2
4
6
8
10
12
β -0.25
rank n/a
t -2.9
Current fund: non-positive loading · Top decile begins at β +0.23 · Leader: RWJ
UMD
-0.30
0
0.24
0.47
0.71
0.95
0
20
40
60
80
90
100
0
2
4
6
8
10
12
β -0.13
rank n/a
t -4.0
Current fund: non-positive loading · Top decile begins at β +0.19 · Leader: MTUM
Factor exposures
Factor β t-stat Backtested % Realized %
Size (SMB) 0.279 4.83 +0.58% -0.15%
Value (HML) 0.686 12.19 +2.19% -1.10%
Profitability (RMW) -0.006 -0.09 -0.02% -0.02%
Investment (CMA) -0.253 -2.94 -0.75% -0.04%
Momentum (UMD) -0.130 -3.98 -0.94% -0.19%
Non-Market Factor Contribution · combined non-market series +1.09% -1.55%
Alpha (intercept) — 0.26 +0.42%
Smart-Beta Net · combined non-market series + alpha +1.52% -1.13%
+ Mkt-RF contribution · market 0.953 29.49 +5.94% +8.91%
= Total excess return +7.49% +6.92%
+ Rf base (%) 4.44% → 11.93% total 1.44% → 8.37% total
Fund snapshot
Issuer
First Trust
Asset class
Equity
Inception
2007-05-08
Trailing 12-month yield
2.26%
Div CAGR
8.06%
Dividend valuation
82 (100=median)
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Matches share at least one verified factor exposure with FXO. They are ranked by modeled factor tracking error: the annualized volatility of their factor-return difference, not a return gap or forecast. Both funds use the same 36-month fitting window; a longer factor-volatility check also limits each match to 3% annualized. How matching works.

IVOV
HML Modeled factor tracking error 2.24%/yr · longer factor history 2.24%/yr · 36 months through 2026-08
Compare FXO vs IVOV
85
Factor-similar
MDYV
HML Modeled factor tracking error 2.25%/yr · longer factor history 2.32%/yr · 36 months through 2026-08
Compare FXO vs MDYV
85
Factor-similar
XMVM
HML Modeled factor tracking error 2.33%/yr · longer factor history 2.14%/yr · 36 months through 2026-08
Compare FXO vs XMVM
84
Factor-similar
DON
HML Modeled factor tracking error 1.99%/yr · longer factor history 2.91%/yr · 36 months through 2026-08
Compare FXO vs DON
81
Factor-similar
VFVA
HML Modeled factor tracking error 2.87%/yr · longer factor history 2.93%/yr · 36 months through 2026-08
Compare FXO vs VFVA
80
Factor-similar
View full FXO similarity cluster
All US Leaders US Universe Methodology

FAQ

What does this FXO ETF page measure?

This page evaluates FXO using factor regressions, relative Sharpe, valuation, and peer context. It is designed for ETF due diligence rather than quote tracking.

Why can Backtested Sim. and Realized differ?

Both views use the same estimated betas. The difference is the return window: Backtested Sim. applies them to the full factor history, while Realized applies them only during the fund's live sample.

Why might a high-return fund still look weak here?

A fund can post strong raw returns and still look unattractive on this screen if its non-market factor capture is weak, its implementation drag is high, or its volatility-adjusted return profile is weaker than the market.

How should US investors use this page?

Use it as a starting point for ETF selection: check whether the fund's live behavior, valuation, and peer context match its stated strategy.

Research disclaimer

Factor decomposition shows what FXO'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.

Important context

VerifiedBeta publishes educational ETF research, not personalized investment advice, portfolio management, or security recommendations. Funds that screen well here can still be unsuitable for your objectives, taxes, liquidity needs, or constraints. Review fund documents, methodology assumptions, and your own circumstances before acting. See the full disclaimer.