Correlation Between Alibaba Group and Evolution Petroleum
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Evolution Petroleum 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 Evolution Petroleum 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 Evolution Petroleum, you can compare the effects of market volatilities on Alibaba Group and Evolution Petroleum 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 Evolution Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Evolution Petroleum.
Diversification Opportunities for Alibaba Group and Evolution Petroleum
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Alibaba and Evolution is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Evolution Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Evolution Petroleum 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 Evolution Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Evolution Petroleum has no effect on the direction of Alibaba Group i.e., Alibaba Group and Evolution Petroleum go up and down completely randomly.
Pair Corralation between Alibaba Group and Evolution Petroleum
Assuming the 90 days horizon Alibaba Group Holding is expected to generate 2.06 times more return on investment than Evolution Petroleum. However, Alibaba Group is 2.06 times more volatile than Evolution Petroleum. It trades about 0.21 of its potential returns per unit of risk. Evolution Petroleum is currently generating about 0.01 per unit of risk. If you would invest 1,015 in Alibaba Group Holding on December 23, 2024 and sell it today you would earn a total of 560.00 from holding Alibaba Group Holding or generate 55.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alibaba Group Holding vs. Evolution Petroleum
Performance |
Timeline |
Alibaba Group Holding |
Evolution Petroleum |
Alibaba Group and Evolution Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Evolution Petroleum
The main advantage of trading using opposite Alibaba Group and Evolution Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Evolution Petroleum 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 Evolution Petroleum will offset losses from the drop in Evolution Petroleum's long position.Alibaba Group vs. ANGLO ASIAN MINING | Alibaba Group vs. Globe Trade Centre | Alibaba Group vs. Canon Marketing Japan | Alibaba Group vs. Indutrade AB |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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