Fidelity Covington Competition
| FELV ETF | 38.06 -0.42 -1.09% |
Fidelity Covington vs Franklin FTSE Correlation Snapshot
Weak diversification
For the present investment horizon, the measured correlation between Fidelity Covington and Franklin FTSE stands at 0.55, or Weak diversification. In portfolio terms, the overlap shows how much shared movement remains after combining both positions.
| 0.86 | VTV | Vanguard Value Index | PairCorr |
| 0.9 | VYM | Vanguard High Dividend | PairCorr |
| 0.94 | IWD | iShares Russell 1000 | PairCorr |
| 0.85 | DGRO | iShares Core Dividend | PairCorr |
| 0.85 | IVE | iShares SAMPP 500 | PairCorr |
Statistical evidence for mean reversion in Fidelity Covington's appears through its tendency to revert after extreme valuations. Under mean reversion theory, Fidelity Covington's price extremes are viewed as temporary dislocations that may self-correct. Mean reversion in Fidelity Covington's is often observed around historical valuation multiples. Historical data for Fidelity Covington shows that extreme valuations have tended to normalize over multi-year periods.
Fidelity Covington Competition Correlation Matrix
Competition correlation for Fidelity Covington Trust matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. When interpreted alongside fundamentals, correlation analysis separates broad industry exposure from company-specific behavior before additional capital is allocated across the peer group.
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High positive correlations
| High negative correlations
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Fidelity Covington Competition Risk-Adjusted Indicators
Headline performance for Fidelity ETF may not fully reflect how the business compares across its competitive set. Risk-adjusted metrics help compare Fidelity Covington's efficiency and downside exposure against peers on a like-for-like basis. These indicators are quantitative in nature and measure 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.75 | -0.20 | 0.00 | -0.16 | 0.00 | 2.61 | 15.22 | |||
| MSFT | 1.36 | -0.03 | 0.00 | -0.03 | 0.00 | 3.11 | 8.57 | |||
| UBER | 1.72 | -0.02 | 0.00 | -0.02 | 0.00 | 3.61 | 8.83 | |||
| F | 1.53 | -0.18 | 0.00 | -0.12 | 0.00 | 4.11 | 9.26 | |||
| T | 1.18 | -0.02 | 0.00 | 0.08 | 0.00 | 2.34 | 7.75 | |||
| A | 1.43 | -0.21 | 0.00 | -0.20 | 0.00 | 2.67 | 8.08 | |||
| CRM | 2.14 | -0.20 | 0.00 | -1.23 | 0.00 | 4.07 | 13.46 | |||
| JPM | 1.11 | 0.03 | 0.02 | 0.04 | 1.47 | 2.18 | 8.16 | |||
| MRK | 1.18 | 0.01 | 0.00 | 0.03 | 1.57 | 2.73 | 7.67 | |||
| XOM | 1.44 | 0.13 | 0.06 | -0.19 | 2.00 | 2.73 | 9.09 |
Fidelity Covington Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
Fidelity Covington Competition Peer Performance Charts
How to Analyze Fidelity Covington Against Peers
Fidelity Covington's peer analysis compares Fidelity Covington with related companies to put valuation, quality, and risk metrics in context. This establishes 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 Fidelity Covington 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 Fidelity Covington leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Fidelity Covington has a wider economic moat score than the average competitor, based on return spread and reinvestment patterns. Working capital efficiency at Fidelity Covington relative to peers can flag hidden liquidity strengths or weaknesses. Comparative analysis works best when peers share business drivers, cycle exposure, and capital structure characteristics.
Fidelity Covington Trust figures are aggregated from fund disclosures and market reference feeds and normalized across reporting formats.
Editorial review and methodology oversight provided by: Gabriel Shpitalnik, Member of Macroaxis Editorial Board