Correlation Between Xtrackers ShortDAX and Macys
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Macys 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 Macys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Macys Inc, you can compare the effects of market volatilities on Xtrackers ShortDAX and Macys 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 Macys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Macys.
Diversification Opportunities for Xtrackers ShortDAX and Macys
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Xtrackers and Macys is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Macys Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macys Inc 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 Macys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macys Inc has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Macys go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Macys
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Macys. But the etf apears to be less risky and, when comparing its historical volatility, Xtrackers ShortDAX is 1.39 times less risky than Macys. The etf trades about -0.2 of its potential returns per unit of risk. The Macys Inc is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 935.00 in Macys Inc on April 20, 2025 and sell it today you would earn a total of 89.00 from holding Macys Inc or generate 9.52% 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. Macys Inc
Performance |
Timeline |
Xtrackers ShortDAX |
Macys Inc |
Xtrackers ShortDAX and Macys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and Macys
The main advantage of trading using opposite Xtrackers ShortDAX and Macys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Macys 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 Macys will offset losses from the drop in Macys' long position.Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
Macys vs. URBAN OUTFITTERS | Macys vs. GWILLI FOOD | Macys vs. United Utilities Group | Macys vs. Canadian Utilities Limited |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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