Correlation Between Alibaba Group and METISA Metalrgica
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and METISA Metalrgica 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 METISA Metalrgica 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 METISA Metalrgica Timboense, you can compare the effects of market volatilities on Alibaba Group and METISA Metalrgica 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 METISA Metalrgica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and METISA Metalrgica.
Diversification Opportunities for Alibaba Group and METISA Metalrgica
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alibaba and METISA is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and METISA Metalrgica Timboense in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on METISA Metalrgica 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 METISA Metalrgica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of METISA Metalrgica has no effect on the direction of Alibaba Group i.e., Alibaba Group and METISA Metalrgica go up and down completely randomly.
Pair Corralation between Alibaba Group and METISA Metalrgica
Assuming the 90 days trading horizon Alibaba Group is expected to generate 3.17 times less return on investment than METISA Metalrgica. In addition to that, Alibaba Group is 1.19 times more volatile than METISA Metalrgica Timboense. It trades about 0.02 of its total potential returns per unit of risk. METISA Metalrgica Timboense is currently generating about 0.08 per unit of volatility. If you would invest 3,966 in METISA Metalrgica Timboense on April 24, 2025 and sell it today you would earn a total of 353.00 from holding METISA Metalrgica Timboense or generate 8.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Alibaba Group Holding vs. METISA Metalrgica Timboense
Performance |
Timeline |
Alibaba Group Holding |
METISA Metalrgica |
Alibaba Group and METISA Metalrgica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and METISA Metalrgica
The main advantage of trading using opposite Alibaba Group and METISA Metalrgica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, METISA Metalrgica 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 METISA Metalrgica will offset losses from the drop in METISA Metalrgica's long position.Alibaba Group vs. Metalurgica Gerdau SA | Alibaba Group vs. Broadcom | Alibaba Group vs. Monster Beverage | Alibaba Group vs. New Oriental Education |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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