Correlation Between Alibaba Group and CORONGLRES CDIS101
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and CORONGLRES CDIS101 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 CORONGLRES CDIS101 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 CORONGLRES CDIS101, you can compare the effects of market volatilities on Alibaba Group and CORONGLRES CDIS101 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 CORONGLRES CDIS101. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and CORONGLRES CDIS101.
Diversification Opportunities for Alibaba Group and CORONGLRES CDIS101
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Alibaba and CORONGLRES is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and CORONGLRES CDIS101 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CORONGLRES CDIS101 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 CORONGLRES CDIS101. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CORONGLRES CDIS101 has no effect on the direction of Alibaba Group i.e., Alibaba Group and CORONGLRES CDIS101 go up and down completely randomly.
Pair Corralation between Alibaba Group and CORONGLRES CDIS101
Given the investment horizon of 90 days Alibaba Group Holding is expected to generate 0.49 times more return on investment than CORONGLRES CDIS101. However, Alibaba Group Holding is 2.06 times less risky than CORONGLRES CDIS101. It trades about 0.01 of its potential returns per unit of risk. CORONGLRES CDIS101 is currently generating about -0.24 per unit of risk. If you would invest 8,493 in Alibaba Group Holding on October 5, 2024 and sell it today you would earn a total of 2.00 from holding Alibaba Group Holding or generate 0.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 85.0% |
Values | Daily Returns |
Alibaba Group Holding vs. CORONGLRES CDIS101
Performance |
Timeline |
Alibaba Group Holding |
CORONGLRES CDIS101 |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Alibaba Group and CORONGLRES CDIS101 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and CORONGLRES CDIS101
The main advantage of trading using opposite Alibaba Group and CORONGLRES CDIS101 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, CORONGLRES CDIS101 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 CORONGLRES CDIS101 will offset losses from the drop in CORONGLRES CDIS101's long position.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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