Correlation Between Xtrackers ShortDAX and Makita
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Makita 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 Makita into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Makita, you can compare the effects of market volatilities on Xtrackers ShortDAX and Makita 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 Makita. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Makita.
Diversification Opportunities for Xtrackers ShortDAX and Makita
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Xtrackers and Makita is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Makita in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Makita 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 Makita. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Makita has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Makita go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Makita
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Makita. But the etf apears to be less risky and, when comparing its historical volatility, Xtrackers ShortDAX is 1.22 times less risky than Makita. The etf trades about -0.26 of its potential returns per unit of risk. The Makita is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,862 in Makita on December 22, 2024 and sell it today you would earn a total of 424.00 from holding Makita or generate 14.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers ShortDAX vs. Makita
Performance |
Timeline |
Xtrackers ShortDAX |
Makita |
Xtrackers ShortDAX and Makita Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and Makita
The main advantage of trading using opposite Xtrackers ShortDAX and Makita positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Makita 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 Makita will offset losses from the drop in Makita'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 |
Makita vs. New Residential Investment | Makita vs. STRAYER EDUCATION | Makita vs. Chuangs China Investments | Makita vs. Investment Latour AB |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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