Deka IBoxx Correlations
EFQ8 Etf | EUR 99.91 0.39 0.39% |
The current 90-days correlation between Deka iBoxx EUR and Deka Deutsche Brse is 0.4 (i.e., Very weak diversification). The correlation of Deka IBoxx 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.
Deka IBoxx Correlation With Market
Average diversification
The correlation between Deka iBoxx EUR and DJI is 0.16 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Deka iBoxx EUR and DJI in the same portfolio, assuming nothing else is changed.
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The ability to find closely correlated positions to Deka IBoxx could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deka IBoxx when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Deka IBoxx - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Deka iBoxx EUR to buy it.
Moving together with Deka Etf
0.79 | UIM5 | UBS Fund Solutions | PairCorr |
0.72 | XDJP | Xtrackers Nikkei 225 | PairCorr |
0.71 | SXRZ | iShares VII PLC | PairCorr |
0.74 | VUSA | Vanguard Funds Public | PairCorr |
0.64 | EXX7 | iShares Nikkei 225 | PairCorr |
0.74 | SXR8 | iShares Core SP | PairCorr |
0.73 | GGUE | UBS ETF Public | PairCorr |
0.69 | DAVV | VanEck Crypto | PairCorr |
0.7 | ETLZ | Legal General UCITS | PairCorr |
0.81 | SC0I | Invesco MSCI Japan | PairCorr |
0.84 | E908 | Lyxor 1 | PairCorr |
0.75 | DBPE | Xtrackers LevDAX | PairCorr |
Moving against Deka 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
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Deka IBoxx Competition Risk-Adjusted Indicators
There is a big difference between Deka Etf performing well and Deka IBoxx 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 Deka IBoxx'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 | 1.15 | 0.21 | 0.11 | 0.55 | 1.25 | 3.22 | 8.02 | |||
MSFT | 0.84 | 0.02 | (0.01) | 0.12 | 1.45 | 1.83 | 8.14 | |||
UBER | 1.83 | (0.28) | 0.00 | (0.13) | 0.00 | 2.69 | 20.41 | |||
F | 1.36 | (0.13) | (0.04) | 0.00 | 2.10 | 2.53 | 11.21 | |||
T | 0.97 | 0.15 | 0.06 | 2.52 | 1.02 | 2.36 | 6.74 | |||
A | 1.22 | 0.00 | (0.04) | 0.09 | 1.46 | 2.71 | 9.02 | |||
CRM | 1.47 | 0.40 | 0.29 | 0.38 | 1.04 | 3.59 | 13.87 | |||
JPM | 1.01 | 0.08 | 0.13 | 0.13 | 0.94 | 1.73 | 15.87 | |||
MRK | 0.96 | (0.20) | 0.00 | (0.82) | 0.00 | 2.00 | 5.18 | |||
XOM | 0.89 | (0.02) | (0.07) | 0.02 | 1.18 | 1.83 | 6.06 |
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