First Trust Correlations
EIPI Etf | 19.83 0.15 0.76% |
The current 90-days correlation between First Trust Exchange and Ultimus Managers Trust is 0.74 (i.e., Poor diversification). The correlation of First Trust 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.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey. Moving together with First Etf
0.65 | JEPI | JPMorgan Equity Premium Sell-off Trend | PairCorr |
0.69 | XYLD | Global X SP | PairCorr |
0.73 | RYLD | Global X Russell | PairCorr |
0.7 | JEPQ | JPMorgan Nasdaq Equity Sell-off Trend | PairCorr |
0.67 | KNG | FT Cboe Vest | PairCorr |
0.69 | BUYW | Main Buywrite ETF | PairCorr |
0.72 | IDME | International Drawdown | PairCorr |
0.74 | ITDD | iShares Trust | PairCorr |
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
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First Trust Competition Risk-Adjusted Indicators
There is a big difference between First Etf performing well and First Trust 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 First Trust'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 | ||
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META | 1.51 | 0.26 | 0.21 | 0.32 | 1.10 | 3.99 | 10.48 | |||
MSFT | 0.90 | 0.30 | 0.27 | 0.47 | 0.54 | 2.33 | 8.85 | |||
UBER | 1.64 | 0.20 | 0.13 | 0.33 | 1.40 | 4.19 | 10.87 | |||
F | 1.32 | 0.14 | 0.06 | 0.32 | 1.47 | 2.69 | 7.46 | |||
T | 1.02 | (0.05) | (0.10) | 0.00 | 1.35 | 2.35 | 5.71 | |||
A | 1.46 | (0.07) | 0.00 | 0.09 | 1.81 | 2.54 | 14.01 | |||
CRM | 1.33 | (0.13) | (0.04) | 0.04 | 1.74 | 2.95 | 9.31 | |||
JPM | 0.90 | 0.22 | 0.18 | 0.38 | 0.67 | 2.25 | 6.03 | |||
MRK | 1.39 | (0.09) | (0.05) | 0.04 | 1.96 | 2.88 | 10.58 | |||
XOM | 1.13 | 0.05 | (0.04) | 0.41 | 1.36 | 2.40 | 5.84 |