Correlation Between Xtrackers LevDAX and OPEN HOUSE
Can any of the company-specific risk be diversified away by investing in both Xtrackers LevDAX and OPEN HOUSE 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 OPEN HOUSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers LevDAX and OPEN HOUSE GROUP, you can compare the effects of market volatilities on Xtrackers LevDAX and OPEN HOUSE 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 OPEN HOUSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers LevDAX and OPEN HOUSE.
Diversification Opportunities for Xtrackers LevDAX and OPEN HOUSE
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xtrackers and OPEN is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers LevDAX and OPEN HOUSE GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OPEN HOUSE GROUP 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 OPEN HOUSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OPEN HOUSE GROUP has no effect on the direction of Xtrackers LevDAX i.e., Xtrackers LevDAX and OPEN HOUSE go up and down completely randomly.
Pair Corralation between Xtrackers LevDAX and OPEN HOUSE
Assuming the 90 days trading horizon Xtrackers LevDAX is expected to generate 0.54 times more return on investment than OPEN HOUSE. However, Xtrackers LevDAX is 1.87 times less risky than OPEN HOUSE. It trades about 0.06 of its potential returns per unit of risk. OPEN HOUSE GROUP is currently generating about 0.03 per unit of risk. If you would invest 12,018 in Xtrackers LevDAX on August 25, 2024 and sell it today you would earn a total of 6,404 from holding Xtrackers LevDAX or generate 53.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
Xtrackers LevDAX vs. OPEN HOUSE GROUP
Performance |
| Timeline |
| Xtrackers LevDAX |
| OPEN HOUSE GROUP |
Xtrackers LevDAX and OPEN HOUSE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Xtrackers LevDAX and OPEN HOUSE
The main advantage of trading using opposite Xtrackers LevDAX and OPEN HOUSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers LevDAX position performs unexpectedly, OPEN HOUSE 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 OPEN HOUSE will offset losses from the drop in OPEN HOUSE's long position.| Xtrackers LevDAX vs. Xtrackers II Global | Xtrackers LevDAX vs. Xtrackers FTSE | Xtrackers LevDAX vs. Xtrackers SP 500 | Xtrackers LevDAX vs. Xtrackers MSCI |
| OPEN HOUSE vs. Dis Fastigheter AB | OPEN HOUSE vs. Superior Plus Corp | OPEN HOUSE vs. NMI Holdings | OPEN HOUSE vs. Origin Agritech |
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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