Correlation Between Xtrackers USD and AB Active
Can any of the company-specific risk be diversified away by investing in both Xtrackers USD and AB Active 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 USD and AB Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers USD High and AB Active ETFs,, you can compare the effects of market volatilities on Xtrackers USD and AB Active 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 USD with a short position of AB Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers USD and AB Active.
Diversification Opportunities for Xtrackers USD and AB Active
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Xtrackers and HYFI is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers USD High and AB Active ETFs, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AB Active ETFs, and Xtrackers USD 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 USD High are associated (or correlated) with AB Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AB Active ETFs, has no effect on the direction of Xtrackers USD i.e., Xtrackers USD and AB Active go up and down completely randomly.
Pair Corralation between Xtrackers USD and AB Active
Given the investment horizon of 90 days Xtrackers USD High is expected to generate 1.07 times more return on investment than AB Active. However, Xtrackers USD is 1.07 times more volatile than AB Active ETFs,. It trades about 0.07 of its potential returns per unit of risk. AB Active ETFs, is currently generating about 0.05 per unit of risk. If you would invest 3,570 in Xtrackers USD High on December 29, 2024 and sell it today you would earn a total of 40.00 from holding Xtrackers USD High or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Xtrackers USD High vs. AB Active ETFs,
Performance |
Timeline |
Xtrackers USD High |
AB Active ETFs, |
Xtrackers USD and AB Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers USD and AB Active
The main advantage of trading using opposite Xtrackers USD and AB Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers USD position performs unexpectedly, AB Active 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 AB Active will offset losses from the drop in AB Active's long position.Xtrackers USD vs. SPDR Bloomberg Emerging | Xtrackers USD vs. iShares Broad USD | Xtrackers USD vs. SPDR Barclays Intermediate | Xtrackers USD vs. Schwab Intermediate Term Treasury |
AB Active vs. BondBloxx ETF Trust | AB Active vs. Virtus ETF Trust | AB Active vs. Ocean Park High | AB Active vs. TCW ETF Trust |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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