Correlation Between Alibaba Group and Deutsche Managed
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Deutsche Managed 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 Alibaba Group and Deutsche Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alibaba Group Holding and Deutsche Managed Municipal, you can compare the effects of market volatilities on Alibaba Group and Deutsche Managed 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 Alibaba Group with a short position of Deutsche Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Deutsche Managed.
Diversification Opportunities for Alibaba Group and Deutsche Managed
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Alibaba and Deutsche is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Deutsche Managed Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Managed Mun and Alibaba Group 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 Alibaba Group Holding are associated (or correlated) with Deutsche Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Managed Mun has no effect on the direction of Alibaba Group i.e., Alibaba Group and Deutsche Managed go up and down completely randomly.
Pair Corralation between Alibaba Group and Deutsche Managed
Given the investment horizon of 90 days Alibaba Group Holding is expected to generate 8.58 times more return on investment than Deutsche Managed. However, Alibaba Group is 8.58 times more volatile than Deutsche Managed Municipal. It trades about 0.05 of its potential returns per unit of risk. Deutsche Managed Municipal is currently generating about -0.38 per unit of risk. If you would invest 8,415 in Alibaba Group Holding on October 6, 2024 and sell it today you would earn a total of 139.00 from holding Alibaba Group Holding or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alibaba Group Holding vs. Deutsche Managed Municipal
Performance |
Timeline |
Alibaba Group Holding |
Deutsche Managed Mun |
Alibaba Group and Deutsche Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Deutsche Managed
The main advantage of trading using opposite Alibaba Group and Deutsche Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Deutsche Managed 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 Deutsche Managed will offset losses from the drop in Deutsche Managed's long position.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
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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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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