SPDR SSgA Correlations
INKM Etf | USD 32.50 0.07 0.22% |
The current 90-days correlation between SPDR SSgA Income and First Trust Multi Asset is 0.7 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SPDR SSgA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR SSgA Income moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
SPDR SSgA Correlation With Market
Very weak diversification
The correlation between SPDR SSgA Income and DJI is 0.43 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SSgA Income and DJI in the same portfolio, assuming nothing else is changed.
SPDR |
Moving together with SPDR Etf
0.66 | AOR | iShares Core Growth | PairCorr |
0.82 | MPRO | Northern Lights | PairCorr |
0.61 | IBM | International Business Fiscal Year End 22nd of January 2025 | PairCorr |
Moving against SPDR Etf
0.38 | JPM | JPMorgan Chase Fiscal Year End 10th of January 2025 | 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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SPDR SSgA Constituents Risk-Adjusted Indicators
There is a big difference between SPDR Etf performing well and SPDR SSgA 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 SPDR SSgA'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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MDIV | 0.30 | 0.02 | (0.13) | 0.15 | 0.27 | 0.74 | 1.90 | |||
MFUL | 0.18 | 0.00 | (0.33) | 0.10 | 0.12 | 0.33 | 1.16 | |||
MPAY | 0.51 | (0.03) | (0.09) | 0.05 | 0.76 | 0.94 | 3.75 | |||
MPRO | 0.33 | (0.03) | (0.24) | (0.05) | 0.44 | 0.65 | 1.61 | |||
DWAT | 0.65 | (0.03) | (0.03) | 0.07 | 0.79 | 1.29 | 5.24 | |||
MRSK | 0.51 | (0.01) | (0.03) | 0.09 | 0.92 | 0.92 | 5.62 | |||
MSMR | 0.56 | (0.01) | (0.03) | 0.09 | 0.66 | 1.01 | 3.56 | |||
EAOA | 0.47 | (0.03) | (0.12) | 0.04 | 0.54 | 1.03 | 2.98 | |||
EAOK | 0.24 | (0.04) | 0.00 | (0.07) | 0.00 | 0.43 | 1.47 |