MicroSectors Travel Correlations
FLYU Etf | USD 60.07 0.62 1.04% |
The current 90-days correlation between MicroSectors Travel and ProShares Ultra SP500 is 0.67 (i.e., Poor diversification). The correlation of MicroSectors Travel 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. If the correlation is 0, the equities are not correlated; they are entirely random.
MicroSectors Travel Correlation With Market
Average diversification
The correlation between MicroSectors Travel 3X and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors Travel 3X and DJI in the same portfolio, assuming nothing else is changed.
MicroSectors |
Moving together with MicroSectors Etf
0.83 | SSO | ProShares Ultra SP500 | PairCorr |
0.82 | SPXL | Direxion Daily SP500 | PairCorr |
0.61 | QLD | ProShares Ultra QQQ | PairCorr |
0.82 | UPRO | ProShares UltraPro SP500 | PairCorr |
0.93 | UYG | ProShares Ultra Fina | PairCorr |
0.73 | ARKW | ARK Next Generation | PairCorr |
0.81 | WTMF | WisdomTree Managed | PairCorr |
0.68 | EWC | iShares MSCI Canada | PairCorr |
0.67 | HUM | Humana Inc Earnings Call This Week | PairCorr |
0.89 | DAPP | VanEck Digital Trans | PairCorr |
0.79 | UMI | USCF Midstream Energy | PairCorr |
0.65 | XCCC | BondBloxx ETF Trust | PairCorr |
0.77 | ETH | Grayscale Ethereum Mini Buyout Trend | PairCorr |
0.62 | FTLS | First Trust LongShort | PairCorr |
0.64 | OLO | Olo Inc | PairCorr |
0.93 | IYG | iShares Financial | PairCorr |
0.8 | AUGP | PGIM Large Cap | PairCorr |
0.75 | BTRN | Global X Funds | PairCorr |
Moving against MicroSectors Etf
Related Correlations Analysis
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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 Travel Constituents Risk-Adjusted Indicators
There is a big difference between MicroSectors Etf performing well and MicroSectors Travel 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 Travel'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 | ||
---|---|---|---|---|---|---|---|---|---|---|
SSO | 1.14 | 0.04 | 0.02 | 0.08 | 1.75 | 2.40 | 10.72 | |||
SPXL | 1.70 | 0.05 | 0.02 | 0.07 | 2.66 | 3.57 | 16.31 | |||
QLD | 1.70 | 0.12 | 0.04 | 0.21 | 2.27 | 3.30 | 12.65 | |||
UPRO | 1.70 | 0.05 | 0.02 | 0.07 | 2.62 | 3.61 | 16.31 | |||
TECL | 2.74 | (0.04) | 0.00 | (0.02) | 0.00 | 5.44 | 17.79 | |||
LABU | 3.49 | (0.59) | 0.00 | (0.42) | 0.00 | 5.44 | 22.49 | |||
GUSH | 2.28 | 0.14 | 0.04 | 0.34 | 3.12 | 3.74 | 17.43 | |||
FNGU | 3.38 | 0.49 | 0.10 | 0.50 | 4.22 | 7.80 | 21.89 | |||
UYG | 1.48 | 0.19 | 0.09 | 0.27 | 1.81 | 2.71 | 18.43 |