Correlation Between Alibaba Group and Mineral Mountain
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Mineral Mountain 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 Mineral Mountain 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 Mineral Mountain Mining, you can compare the effects of market volatilities on Alibaba Group and Mineral Mountain 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 Mineral Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Mineral Mountain.
Diversification Opportunities for Alibaba Group and Mineral Mountain
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Alibaba and Mineral is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Mineral Mountain Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mineral Mountain Mining 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 Mineral Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mineral Mountain Mining has no effect on the direction of Alibaba Group i.e., Alibaba Group and Mineral Mountain go up and down completely randomly.
Pair Corralation between Alibaba Group and Mineral Mountain
Given the investment horizon of 90 days Alibaba Group is expected to generate 87.6 times less return on investment than Mineral Mountain. But when comparing it to its historical volatility, Alibaba Group Holding is 23.15 times less risky than Mineral Mountain. It trades about 0.02 of its potential returns per unit of risk. Mineral Mountain Mining is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 3.31 in Mineral Mountain Mining on October 5, 2024 and sell it today you would lose (3.30) from holding Mineral Mountain Mining or give up 99.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Alibaba Group Holding vs. Mineral Mountain Mining
Performance |
Timeline |
Alibaba Group Holding |
Mineral Mountain Mining |
Alibaba Group and Mineral Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Mineral Mountain
The main advantage of trading using opposite Alibaba Group and Mineral Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Mineral Mountain 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 Mineral Mountain will offset losses from the drop in Mineral Mountain'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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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