Correlation Between Petroleo Brasileiro and Wag Group
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Wag Group 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 Wag Group 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 Wag Group Co, you can compare the effects of market volatilities on Petroleo Brasileiro and Wag Group 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 Wag Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Wag Group.
Diversification Opportunities for Petroleo Brasileiro and Wag Group
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Petroleo and Wag is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Wag Group Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wag 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 Wag Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wag Group has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Wag Group go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Wag Group
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to generate 0.41 times more return on investment than Wag Group. However, Petroleo Brasileiro Petrobras is 2.43 times less risky than Wag Group. It trades about 0.07 of its potential returns per unit of risk. Wag Group Co is currently generating about -0.07 per unit of risk. If you would invest 738.00 in Petroleo Brasileiro Petrobras on September 12, 2024 and sell it today you would earn a total of 695.00 from holding Petroleo Brasileiro Petrobras or generate 94.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Wag Group Co
Performance |
Timeline |
Petroleo Brasileiro |
Wag Group |
Petroleo Brasileiro and Wag Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Wag Group
The main advantage of trading using opposite Petroleo Brasileiro and Wag Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Wag Group 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 Wag Group will offset losses from the drop in Wag Group'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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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