MicroSectors FANG Correlations
FNGO Etf | USD 113.39 1.33 1.19% |
The current 90-days correlation between MicroSectors FANG Index and MicroSectors FANG ETN is 0.94 (i.e., Almost no diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as MicroSectors FANG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MicroSectors FANG Index moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
MicroSectors FANG Correlation With Market
Very weak diversification
The correlation between MicroSectors FANG Index and DJI is 0.49 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and DJI in the same portfolio, assuming nothing else is changed.
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Moving together with MicroSectors Etf
0.97 | SSO | ProShares Ultra SP500 | PairCorr |
0.97 | SPXL | Direxion Daily SP500 | PairCorr |
0.98 | QLD | ProShares Ultra QQQ | PairCorr |
0.97 | UPRO | ProShares UltraPro SP500 | PairCorr |
0.96 | TECL | Direxion Daily Technology | PairCorr |
0.78 | LABU | Direxion Daily SP | PairCorr |
0.8 | UYG | ProShares Ultra Fina | PairCorr |
0.96 | VTI | Vanguard Total Stock | PairCorr |
0.96 | SPY | SPDR SP 500 | PairCorr |
0.96 | IVV | iShares Core SP | PairCorr |
0.83 | BND | Vanguard Total Bond | PairCorr |
0.91 | VTV | Vanguard Value Index | PairCorr |
0.94 | VUG | Vanguard Growth Index | PairCorr |
0.93 | VO | Vanguard Mid Cap | PairCorr |
0.85 | VEA | Vanguard FTSE Developed Sell-off Trend | PairCorr |
0.9 | VB | Vanguard Small Cap | PairCorr |
0.91 | VWO | Vanguard FTSE Emerging | PairCorr |
0.92 | JPM | JPMorgan Chase | PairCorr |
0.78 | AA | Alcoa Corp | PairCorr |
0.75 | PFE | Pfizer Inc | PairCorr |
0.9 | CAT | Caterpillar | PairCorr |
0.69 | MRK | Merck Company | PairCorr |
0.73 | JNJ | Johnson Johnson | PairCorr |
0.75 | DD | Dupont De Nemours | PairCorr |
0.79 | BAC | Bank of America Aggressive Push | PairCorr |
0.82 | GE | GE Aerospace | PairCorr |
0.84 | CVX | Chevron Corp | PairCorr |
Moving against MicroSectors Etf
0.66 | FNGU | MicroSectors FANG Index Symbol Change | PairCorr |
0.5 | KO | Coca Cola | PairCorr |
0.38 | TRV | The Travelers Companies | PairCorr |
Related Correlations Analysis
0.97 | -0.99 | 0.78 | 0.94 | FNGS | ||
0.97 | -0.96 | 0.76 | 0.93 | WEBL | ||
-0.99 | -0.96 | -0.79 | -0.94 | FNGD | ||
0.78 | 0.76 | -0.79 | 0.86 | WANT | ||
0.94 | 0.93 | -0.94 | 0.86 | BNKU | ||
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
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MicroSectors FANG Constituents Risk-Adjusted Indicators
There is a big difference between MicroSectors Etf performing well and MicroSectors FANG 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 MicroSectors FANG'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 | ||
---|---|---|---|---|---|---|---|---|---|---|
FNGS | 0.79 | 0.08 | 0.05 | 0.23 | 0.85 | 1.83 | 5.99 | |||
WEBL | 2.25 | 0.10 | 0.10 | 0.17 | 2.50 | 5.30 | 15.41 | |||
FNGD | 2.23 | (0.28) | 0.00 | 0.26 | 0.00 | 4.13 | 13.44 | |||
WANT | 2.41 | (0.01) | 0.10 | 0.13 | 2.82 | 6.09 | 16.78 | |||
BNKU | 2.35 | 0.32 | 0.21 | 0.23 | 2.30 | 5.16 | 13.14 |