Correlation Between Xtrackers High and Xtrackers Low
Can any of the company-specific risk be diversified away by investing in both Xtrackers High and Xtrackers Low 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 High and Xtrackers Low into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers High Beta and Xtrackers Low Beta, you can compare the effects of market volatilities on Xtrackers High and Xtrackers Low 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 High with a short position of Xtrackers Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers High and Xtrackers Low.
Diversification Opportunities for Xtrackers High and Xtrackers Low
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Xtrackers and Xtrackers is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers High Beta and Xtrackers Low Beta in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xtrackers Low Beta and Xtrackers High 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 High Beta are associated (or correlated) with Xtrackers Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xtrackers Low Beta has no effect on the direction of Xtrackers High i.e., Xtrackers High and Xtrackers Low go up and down completely randomly.
Pair Corralation between Xtrackers High and Xtrackers Low
Given the investment horizon of 90 days Xtrackers High Beta is expected to generate 1.16 times more return on investment than Xtrackers Low. However, Xtrackers High is 1.16 times more volatile than Xtrackers Low Beta. It trades about -0.08 of its potential returns per unit of risk. Xtrackers Low Beta is currently generating about -0.11 per unit of risk. If you would invest 4,192 in Xtrackers High Beta on September 25, 2024 and sell it today you would lose (21.90) from holding Xtrackers High Beta or give up 0.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers High Beta vs. Xtrackers Low Beta
Performance |
Timeline |
Xtrackers High Beta |
Xtrackers Low Beta |
Xtrackers High and Xtrackers Low Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers High and Xtrackers Low
The main advantage of trading using opposite Xtrackers High and Xtrackers Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers High position performs unexpectedly, Xtrackers Low 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 Xtrackers Low will offset losses from the drop in Xtrackers Low's long position.Xtrackers High vs. iShares iBoxx High | Xtrackers High vs. iShares Broad USD | Xtrackers High vs. iShares 0 5 Year | Xtrackers High vs. Xtrackers USD High |
Xtrackers Low vs. Xtrackers High Beta | Xtrackers Low vs. Xtrackers Short Duration | Xtrackers Low vs. Goldman Sachs Access | Xtrackers Low vs. FlexShares High Yield |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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