Columbia Seligman Correlations
SEMI Etf | USD 26.68 0.08 0.30% |
The correlation of Columbia Seligman 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.
Columbia Seligman Correlation With Market
Average diversification
The correlation between Columbia Seligman Semiconducto and DJI is 0.18 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Seligman Semiconducto and DJI in the same portfolio, assuming nothing else is changed.
Columbia |
Moving together with Columbia Etf
0.88 | SMH | VanEck Semiconductor ETF | PairCorr |
0.88 | SOXX | iShares Semiconductor ETF | PairCorr |
0.68 | IGM | iShares Expanded Tech | PairCorr |
0.65 | EOS | Eaton Vance Enhanced | PairCorr |
0.63 | BA | Boeing | PairCorr |
Moving against Columbia Etf
0.59 | SNPD | DBX ETF Trust | PairCorr |
0.38 | EVUS | iShares ESG Aware | PairCorr |
0.64 | TRV | The Travelers Companies | PairCorr |
0.56 | XOM | Exxon Mobil Corp | PairCorr |
0.54 | HPQ | HP Inc | PairCorr |
0.53 | AA | Alcoa Corp | PairCorr |
0.42 | JNJ | Johnson Johnson | PairCorr |
0.34 | INTC | Intel Aggressive Push | 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
| High negative correlations
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Columbia Seligman Constituents Risk-Adjusted Indicators
There is a big difference between Columbia Etf performing well and Columbia Seligman 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 Columbia Seligman'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 | ||
---|---|---|---|---|---|---|---|---|---|---|
JACO | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
TAIT | 1.09 | (0.10) | 0.00 | (1.55) | 0.00 | 1.98 | 6.97 | |||
ACTL | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
NMGC | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
ASYS | 1.85 | 0.13 | 0.06 | (0.59) | 2.13 | 3.57 | 12.23 |