DAX Index Correlations
| GDAXI Index | 22,410 15.66 0.07% |
The current 90-days correlation between DAX Index and TRAVEL LEISURE DL 01 is -0.12 (i.e., Good diversification). The correlation of DAX Index 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.
The ability to find closely correlated positions to DAX Index could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DAX Index 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 DAX Index - 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 DAX Index to buy it.
Moving together with DAX Index
| 0.74 | PSM | ProSiebenSat1 Media | PairCorr |
| 0.83 | HKU | H2O Retailing | PairCorr |
| 0.81 | LT3 | AXOGEN | PairCorr |
| 0.67 | RAX | RANGE RESOURCES | PairCorr |
| 0.9 | KRZ | Kerry Group plc | PairCorr |
| 0.71 | J7Z | Jazz Pharmaceuticals plc | PairCorr |
| 0.86 | EUK3 | EUROKAI VZ | PairCorr |
| 0.66 | 6TP | MERCARI INC | PairCorr |
Moving against DAX Index
| 0.4 | APC | Apple Inc | PairCorr |
| 0.39 | APC | Apple Inc | PairCorr |
| 0.38 | APC | Apple Inc | PairCorr |
| 0.32 | APC | Apple Inc | PairCorr |
| 0.31 | APC | Apple Inc | PairCorr |
| 0.31 | APC | Apple Inc | PairCorr |
Related Correlations Analysis
| Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
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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Risk-Adjusted Indicators
There is a big difference between DAX Index performing well and DAX Index Index 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 DAX Index'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| WD5A | 1.08 | 0.06 | 0.03 | (0.46) | 1.25 | 2.91 | 6.66 | |||
| CUW | 1.18 | 0.19 | 0.07 | 0.52 | 1.67 | 3.90 | 14.64 | |||
| 8DA1 | 1.73 | (0.09) | 0.00 | (0.84) | 0.00 | 3.51 | 20.45 | |||
| 96W | 2.66 | (0.18) | 0.00 | (1.31) | 0.00 | 5.19 | 26.22 | |||
| 9GY | 1.69 | 0.06 | 0.02 | 0.10 | 2.03 | 4.17 | 13.87 | |||
| 1P3N | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| WI8 | 0.86 | (0.02) | 0.00 | (0.04) | 0.00 | 1.82 | 7.33 | |||
| GOKA | 4.42 | 0.06 | 0.01 | 0.08 | 5.07 | 15.56 | 42.83 |
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DAX Index Distribution of Returns
Predicted Return Density |
| Returns |
