Correlation Between Petroleo Brasileiro and Vivendi SE
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Vivendi SE 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 Petroleo Brasileiro and Vivendi SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petroleo Brasileiro Petrobras and Vivendi SE, you can compare the effects of market volatilities on Petroleo Brasileiro and Vivendi SE 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 Petroleo Brasileiro with a short position of Vivendi SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Vivendi SE.
Diversification Opportunities for Petroleo Brasileiro and Vivendi SE
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Petroleo and Vivendi is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Vivendi SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vivendi SE and Petroleo Brasileiro 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 Petroleo Brasileiro Petrobras are associated (or correlated) with Vivendi SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vivendi SE has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Vivendi SE go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Vivendi SE
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the Vivendi SE. But the stock apears to be less risky and, when comparing its historical volatility, Petroleo Brasileiro Petrobras is 37.44 times less risky than Vivendi SE. The stock trades about -0.2 of its potential returns per unit of risk. The Vivendi SE is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 925.00 in Vivendi SE on September 27, 2024 and sell it today you would lose (325.00) from holding Vivendi SE or give up 35.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Vivendi SE
Performance |
Timeline |
Petroleo Brasileiro |
Vivendi SE |
Petroleo Brasileiro and Vivendi SE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Vivendi SE
The main advantage of trading using opposite Petroleo Brasileiro and Vivendi SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Vivendi SE 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 Vivendi SE will offset losses from the drop in Vivendi SE's long position.Petroleo Brasileiro vs. Ecopetrol SA ADR | Petroleo Brasileiro vs. Equinor ASA ADR | Petroleo Brasileiro vs. Eni SpA ADR | Petroleo Brasileiro vs. Cenovus Energy |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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