FT Cboe Competition
| FAPR Etf | USD 44.73 0.00 0.00% |
FT Cboe vs First Trust Correlation View
Very good diversification
Across the chosen horizon, FT Cboe and First Trust show a correlation of 0.02 and fall into the Very good diversification bucket. Lower overlap tends to improve diversification, while higher overlap means both positions carry similar risk.
Moving against FAPR Etf
| 0.73 | FNGU | MicroSectors FANG Index Symbol Change | PairCorr |
| 0.59 | BULZ | MicroSectors Solactive Downward Rally | PairCorr |
Experienced investors tracking FT Cboe'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 FT Cboe.
FT Cboe Competition Correlation Matrix
Competition correlation for FT Cboe Vest matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. This matrix is most informative when investors want to know whether adding another peer would improve diversification, increase crowding, or leave total risk largely unchanged.
High positive correlations
| High negative correlations
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FT Cboe Competition Risk-Adjusted Indicators
FT Cboe ETF can look attractive on recent price action while risk efficiency lags the peer group. Risk-adjusted metrics help compare FT Cboe's efficiency and downside exposure against peers on a like-for-like basis. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.52 | -0.06 | 0.00 | -0.13 | 0.00 | 2.33 | 14.24 | |||
| MSFT | 1.31 | -0.32 | 0.00 | -0.68 | 0.00 | 2.19 | 13.28 | |||
| UBER | 1.55 | -0.09 | 0.00 | -0.22 | 0.00 | 3.18 | 11.09 | |||
| F | 1.36 | -0.08 | 0.00 | -0.14 | 0.00 | 3.61 | 10.01 | |||
| T | 1.11 | 0.27 | 0.23 | -1.68 | 1.13 | 3.87 | 8.53 | |||
| A | 1.22 | -0.32 | 0.00 | -5.94 | 0.00 | 2.48 | 7.20 | |||
| CRM | 1.87 | -0.45 | 0.00 | -0.77 | 0.00 | 3.41 | 9.78 | |||
| JPM | 1.12 | -0.02 | 0.00 | -0.08 | 0.00 | 2.02 | 8.17 | |||
| MRK | 1.10 | 0.28 | 0.23 | 0.52 | 1.15 | 2.54 | 7.29 | |||
| XOM | 1.27 | 0.54 | 0.39 | 13.33 | 1.04 | 2.90 | 6.83 |
FT Cboe Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
FT Cboe Competition Peer Performance Charts
How to Analyze FT Cboe Against Peers
FT Cboe's peer analysis compares FT Cboe 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 FT Cboe 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 FT Cboe leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
FT Cboe's capital allocation track record stands out when measured by cumulative returns on acquisitions versus peers. Peer rankings that stay stable over multiple quarters tend to reflect structural edges rather than short-term luck. Stronger competitive positioning is usually reflected through margins, returns on capital, and balance-sheet resilience.
Inputs for FT Cboe Vest come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.