Correlation Between Alibaba Group and Petroleo Brasileiro
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Petroleo Brasileiro 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 Petroleo Brasileiro 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 Petroleo Brasileiro Petrobras, you can compare the effects of market volatilities on Alibaba Group and Petroleo Brasileiro 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 Petroleo Brasileiro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Petroleo Brasileiro.
Diversification Opportunities for Alibaba Group and Petroleo Brasileiro
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alibaba and Petroleo is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Petroleo Brasileiro Petrobras in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petroleo Brasileiro 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 Petroleo Brasileiro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petroleo Brasileiro has no effect on the direction of Alibaba Group i.e., Alibaba Group and Petroleo Brasileiro go up and down completely randomly.
Pair Corralation between Alibaba Group and Petroleo Brasileiro
Given the investment horizon of 90 days Alibaba Group Holding is expected to under-perform the Petroleo Brasileiro. In addition to that, Alibaba Group is 1.18 times more volatile than Petroleo Brasileiro Petrobras. It trades about -0.01 of its total potential returns per unit of risk. Petroleo Brasileiro Petrobras is currently generating about 0.07 per unit of volatility. If you would invest 746.00 in Petroleo Brasileiro Petrobras on October 23, 2024 and sell it today you would earn a total of 631.50 from holding Petroleo Brasileiro Petrobras or generate 84.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Alibaba Group Holding vs. Petroleo Brasileiro Petrobras
Performance |
Timeline |
Alibaba Group Holding |
Petroleo Brasileiro |
Alibaba Group and Petroleo Brasileiro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Petroleo Brasileiro
The main advantage of trading using opposite Alibaba Group and Petroleo Brasileiro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Petroleo Brasileiro 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 Petroleo Brasileiro will offset losses from the drop in Petroleo Brasileiro'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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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