First Trust Competition
| RFDI Etf | USD 81.98 0.93 1.15% |
Correlation: First Trust vs IShares Oil Details
Poor diversification
The correlation between First Trust and IShares Oil is 0.66, which Macroaxis classifies as Poor diversification for the selected horizon. This chart helps evaluate whether adding IShares Oil genuinely reduces risk relative to holding First Trust alone.
Moving together with First Etf
| 0.98 | EFV | iShares MSCI EAFE | PairCorr |
| 0.91 | FNDF | Schwab Fundamental | PairCorr |
| 0.96 | VYMI | Vanguard International | PairCorr |
| 0.9 | IDV | iShares International | PairCorr |
| 0.96 | DFIV | Dimensional International | PairCorr |
Moving against First Etf
Experienced investors tracking First Trust's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in First Trust. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in First Trust. The mean reversion signal is most useful when combined with fundamental confirmation for First Trust's.
First Trust Competition Correlation Matrix
Competition correlation for First Trust RiverFront matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. The current classification points to the Foreign Large Value category. In practical terms, lower correlation may offer better diversification while higher correlation may leave the portfolio more exposed to one shared driver.
High positive correlations
| High negative correlations
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First Trust Constituents Risk-Adjusted Indicators
First Trust ETF can look attractive on recent price action while risk efficiency lags the peer group. Reviewing First Trust's risk-adjusted indicators gives a clearer view of whether returns are being earned efficiently. These indicators are quantitative in nature and help investors evaluate volatility and risk-adjusted expected returns across different positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| AVDS | 0.82 | 0.11 | 0.09 | 0.08 | 1.31 | 1.88 | 5.33 | |||
| GSEE | 1.02 | 0.18 | 0.11 | 0.10 | 1.45 | 2.54 | 6.60 | |||
| EMMF | 0.86 | 0.17 | 0.12 | 0.12 | 1.31 | 1.80 | 6.46 | |||
| DGRE | 1.14 | 0.23 | 0.13 | 0.13 | 1.56 | 2.34 | 7.60 | |||
| FYT | 0.86 | 0.16 | 0.15 | 0.10 | 0.89 | 2.08 | 5.63 | |||
| TDSC | 0.50 | 0.07 | 0.12 | 0.08 | 0.70 | 0.72 | 3.58 | |||
| BLES | 0.63 | 0.02 | 0.08 | -0.13 | 0.93 | 1.19 | 4.23 | |||
| ECML | 0.85 | 0.15 | 0.15 | 0.11 | 0.85 | 1.97 | 7.14 | |||
| KCCA | 0.68 | -0.13 | 0.00 | -0.98 | 0.00 | 1.57 | 6.66 | |||
| IEZ | 1.47 | 0.64 | 0.42 | 0.46 | 1.05 | 3.89 | 9.02 |
First Trust Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
First Trust Competition Peer Performance Charts
How to Analyze First Trust Against Peers
First Trust's peer analysis compares First Trust with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:- Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
- Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
- Check valuation dispersion: Review whether First Trust trades at a premium or discount versus peers and why.
- Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
- Document the thesis: Record where First Trust leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Operating expenses at First Trust as a share of revenue sit below the peer group midpoint, signaling tighter cost control. Peer benchmarking can improve context for valuation without relying only on standalone multiples.
The analytics block for First Trust RiverFront relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.