Correlation Between Alibaba Group and Deutsche Post
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Deutsche Post 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 Post 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 Post AG, you can compare the effects of market volatilities on Alibaba Group and Deutsche Post 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 Post. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Deutsche Post.
Diversification Opportunities for Alibaba Group and Deutsche Post
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Alibaba and Deutsche is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Deutsche Post AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Post AG 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 Post. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Post AG has no effect on the direction of Alibaba Group i.e., Alibaba Group and Deutsche Post go up and down completely randomly.
Pair Corralation between Alibaba Group and Deutsche Post
Given the investment horizon of 90 days Alibaba Group Holding is expected to generate 1.36 times more return on investment than Deutsche Post. However, Alibaba Group is 1.36 times more volatile than Deutsche Post AG. It trades about 0.04 of its potential returns per unit of risk. Deutsche Post AG is currently generating about -0.04 per unit of risk. If you would invest 7,141 in Alibaba Group Holding on October 5, 2024 and sell it today you would earn a total of 1,354 from holding Alibaba Group Holding or generate 18.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.2% |
Values | Daily Returns |
Alibaba Group Holding vs. Deutsche Post AG
Performance |
Timeline |
Alibaba Group Holding |
Deutsche Post AG |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Alibaba Group and Deutsche Post Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Deutsche Post
The main advantage of trading using opposite Alibaba Group and Deutsche Post positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Deutsche Post 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 Post will offset losses from the drop in Deutsche Post's long position.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
Deutsche Post vs. Deutsche Grundstcksauktionen AG | Deutsche Post vs. Deutsche Post AG | Deutsche Post vs. Deutsche Post AG | Deutsche Post vs. Deutsche Bank Aktiengesellschaft |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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