FlexShares Global Correlations
| GQRE Etf | USD 60.67 0.09 0.15% |
The current 90-days correlation between FlexShares Global Quality and Invesco Exchange Traded is 0.6 (i.e., Poor diversification). The correlation of FlexShares Global 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.
FlexShares Global Correlation With Market
Significant diversification
The correlation between FlexShares Global Quality and DJI is 0.01 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FlexShares Global Quality and DJI in the same portfolio, assuming nothing else is changed.
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Moving together with FlexShares Etf
| 0.81 | REET | iShares Global REIT | PairCorr |
| 0.8 | HAUZ | Xtrackers International | PairCorr |
| 0.63 | RWX | SPDR Dow Jones | PairCorr |
| 0.62 | AVRE | Avantis Real Estate | PairCorr |
| 0.7 | IFGL | iShares International | PairCorr |
Related Correlations Analysis
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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FlexShares Global Constituents Risk-Adjusted Indicators
There is a big difference between FlexShares Etf performing well and FlexShares Global 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 FlexShares Global'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| QVMM | 0.68 | 0.05 | (0.04) | (0.33) | 0.80 | 1.47 | 5.50 | |||
| SMOT | 0.66 | (0.10) | 0.00 | (0.02) | 0.00 | 1.24 | 5.36 | |||
| URTY | 2.71 | (0.25) | 0.00 | 0.02 | 3.49 | 5.71 | 20.71 | |||
| JPME | 0.54 | (0.07) | (0.11) | 0.00 | 0.66 | 1.22 | 4.52 | |||
| PDN | 0.53 | (0.02) | (0.06) | 0.05 | 0.63 | 1.11 | 3.93 | |||
| GVUS | 0.45 | 0.09 | 0.01 | (0.57) | 0.47 | 1.04 | 3.68 | |||
| JPUS | 0.46 | 0.05 | (0.06) | (0.82) | 0.45 | 1.01 | 3.16 | |||
| AIVL | 0.47 | (0.07) | 0.00 | (0.01) | 0.00 | 1.00 | 3.69 | |||
| EWD | 0.67 | 0.00 | (0.01) | 0.08 | 0.76 | 1.24 | 4.27 | |||
| CWEB | 2.56 | (0.10) | 0.00 | 0.04 | 3.70 | 4.78 | 19.94 |