Correlation Between Xtrackers LevDAX and Retail Estates
Can any of the company-specific risk be diversified away by investing in both Xtrackers LevDAX and Retail Estates 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 LevDAX and Retail Estates into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers LevDAX and Retail Estates NV, you can compare the effects of market volatilities on Xtrackers LevDAX and Retail Estates 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 LevDAX with a short position of Retail Estates. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers LevDAX and Retail Estates.
Diversification Opportunities for Xtrackers LevDAX and Retail Estates
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Xtrackers and Retail is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers LevDAX and Retail Estates NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retail Estates NV and Xtrackers LevDAX 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 LevDAX are associated (or correlated) with Retail Estates. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retail Estates NV has no effect on the direction of Xtrackers LevDAX i.e., Xtrackers LevDAX and Retail Estates go up and down completely randomly.
Pair Corralation between Xtrackers LevDAX and Retail Estates
Assuming the 90 days trading horizon Xtrackers LevDAX is expected to generate 1.61 times more return on investment than Retail Estates. However, Xtrackers LevDAX is 1.61 times more volatile than Retail Estates NV. It trades about 0.19 of its potential returns per unit of risk. Retail Estates NV is currently generating about 0.17 per unit of risk. If you would invest 23,410 in Xtrackers LevDAX on April 23, 2025 and sell it today you would earn a total of 4,925 from holding Xtrackers LevDAX or generate 21.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers LevDAX vs. Retail Estates NV
Performance |
Timeline |
Xtrackers LevDAX |
Retail Estates NV |
Xtrackers LevDAX and Retail Estates Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers LevDAX and Retail Estates
The main advantage of trading using opposite Xtrackers LevDAX and Retail Estates positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers LevDAX position performs unexpectedly, Retail Estates 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 Retail Estates will offset losses from the drop in Retail Estates' long position.Xtrackers LevDAX vs. Xtrackers II Global | Xtrackers LevDAX vs. Xtrackers FTSE | Xtrackers LevDAX vs. Xtrackers SP 500 | Xtrackers LevDAX vs. Xtrackers MSCI |
Retail Estates vs. DAIDO METAL TD | Retail Estates vs. Lion One Metals | Retail Estates vs. GREENX METALS LTD | Retail Estates vs. Chuangs China Investments |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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