FT Cboe Correlations
FAUG Etf | USD 46.25 0.88 1.87% |
The current 90-days correlation between FT Cboe Vest and FT Vest Equity is -0.03 (i.e., Good diversification). The correlation of FT Cboe is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
FT Cboe Correlation With Market
Very good diversification
The correlation between FT Cboe Vest and DJI is -0.22 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and DJI in the same portfolio, assuming nothing else is changed.
FAUG |
Moving together with FAUG Etf
0.77 | INOV | Innovator ETFs Trust | PairCorr |
0.84 | BUFR | First Trust Cboe | PairCorr |
0.83 | BUFD | FT Cboe Vest | PairCorr |
0.84 | PSEP | Innovator SP 500 | PairCorr |
0.72 | PJAN | Innovator SP 500 | PairCorr |
0.84 | PJUL | Innovator SP 500 | PairCorr |
0.84 | PAUG | Innovator Equity Power | PairCorr |
0.82 | DNOV | FT Cboe Vest | PairCorr |
0.78 | PMAY | Innovator SP 500 | PairCorr |
0.84 | PJUN | Innovator SP 500 | PairCorr |
0.67 | VTI | Vanguard Total Stock | PairCorr |
0.74 | SPY | SPDR SP 500 | PairCorr |
0.74 | IVV | iShares Core SP | PairCorr |
0.78 | VEA | Vanguard FTSE Developed | PairCorr |
0.8 | RXI | iShares Global Consumer | PairCorr |
0.8 | JPM | JPMorgan Chase | PairCorr |
0.75 | GE | GE Aerospace | PairCorr |
0.72 | MMM | 3M Company | PairCorr |
0.7 | CSCO | Cisco Systems | PairCorr |
0.74 | WMT | Walmart | PairCorr |
Moving against FAUG Etf
0.64 | MRK | Merck Company Aggressive Push | PairCorr |
Related Correlations Analysis
Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
|
FT Cboe Competition Risk-Adjusted Indicators
There is a big difference between FAUG Etf performing well and FT Cboe ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze FT Cboe's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
---|---|---|---|---|---|---|---|---|---|---|
META | 1.36 | 0.25 | 0.20 | (0.95) | 1.44 | 3.22 | 7.11 | |||
MSFT | 1.04 | (0.08) | 0.00 | (0.27) | 0.00 | 2.20 | 10.31 | |||
UBER | 1.94 | 0.09 | 0.05 | 1.57 | 2.87 | 4.72 | 12.28 | |||
F | 1.32 | (0.16) | 0.00 | (0.23) | 0.00 | 2.46 | 10.14 | |||
T | 0.94 | 0.32 | 0.31 | 0.57 | 0.88 | 1.90 | 7.94 | |||
A | 1.07 | (0.05) | 0.00 | 0.30 | 0.00 | 2.81 | 9.03 | |||
CRM | 1.43 | (0.18) | 0.00 | (0.30) | 0.00 | 2.21 | 15.92 | |||
JPM | 0.89 | 0.13 | 0.14 | 0.88 | 1.16 | 1.97 | 6.85 | |||
MRK | 1.26 | (0.13) | 0.00 | 0.20 | 0.00 | 2.15 | 11.57 | |||
XOM | 0.96 | (0.14) | 0.00 | (0.29) | 0.00 | 1.76 | 5.69 |