Correlation Between Petroleo Brasileiro and Orca Energy
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Orca Energy 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 Orca Energy 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 Orca Energy Group, you can compare the effects of market volatilities on Petroleo Brasileiro and Orca Energy 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 Orca Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Orca Energy.
Diversification Opportunities for Petroleo Brasileiro and Orca Energy
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Petroleo and Orca is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Orca Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orca Energy Group 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 Orca Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orca Energy Group has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Orca Energy go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Orca Energy
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to generate 0.42 times more return on investment than Orca Energy. However, Petroleo Brasileiro Petrobras is 2.36 times less risky than Orca Energy. It trades about -0.04 of its potential returns per unit of risk. Orca Energy Group is currently generating about -0.02 per unit of risk. If you would invest 1,490 in Petroleo Brasileiro Petrobras on September 1, 2024 and sell it today you would lose (62.00) from holding Petroleo Brasileiro Petrobras or give up 4.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Orca Energy Group
Performance |
Timeline |
Petroleo Brasileiro |
Orca Energy Group |
Petroleo Brasileiro and Orca Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Orca Energy
The main advantage of trading using opposite Petroleo Brasileiro and Orca Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Orca Energy 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 Orca Energy will offset losses from the drop in Orca Energy's long position.Petroleo Brasileiro vs. Shell PLC ADR | Petroleo Brasileiro vs. BP PLC ADR | Petroleo Brasileiro vs. Suncor Energy | Petroleo Brasileiro vs. Equinor ASA ADR |
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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 Stocks Directory module to find actively traded stocks across global markets.
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