Correlation Between Xtrackers ShortDAX and Klépierre
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Klépierre at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Xtrackers ShortDAX and Klépierre into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Klpierre SA, you can compare the effects of market volatilities on Xtrackers ShortDAX and Klépierre and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Xtrackers ShortDAX with a short position of Klépierre. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Klépierre.
Diversification Opportunities for Xtrackers ShortDAX and Klépierre
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xtrackers and Klépierre is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Klpierre SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Klpierre SA and Xtrackers ShortDAX is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Xtrackers ShortDAX are associated (or correlated) with Klépierre. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Klpierre SA has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Klépierre go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Klépierre
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Klépierre. In addition to that, Xtrackers ShortDAX is 2.19 times more volatile than Klpierre SA. It trades about -0.12 of its total potential returns per unit of risk. Klpierre SA is currently generating about 0.17 per unit of volatility. If you would invest 3,031 in Klpierre SA on April 25, 2025 and sell it today you would earn a total of 271.00 from holding Klpierre SA or generate 8.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers ShortDAX vs. Klpierre SA
Performance |
Timeline |
Xtrackers ShortDAX |
Klpierre SA |
Xtrackers ShortDAX and Klépierre Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and Klépierre
The main advantage of trading using opposite Xtrackers ShortDAX and Klépierre positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Klépierre can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Klépierre will offset losses from the drop in Klépierre's long position.Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
Klépierre vs. PKSHA TECHNOLOGY INC | Klépierre vs. American Eagle Outfitters | Klépierre vs. United Utilities Group | Klépierre vs. AviChina Industry Technology |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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