Correlation Between Petroleo Brasileiro and The Gabelli
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and The Gabelli 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 The Gabelli 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 The Gabelli Dividend, you can compare the effects of market volatilities on Petroleo Brasileiro and The Gabelli 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 The Gabelli. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and The Gabelli.
Diversification Opportunities for Petroleo Brasileiro and The Gabelli
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Petroleo and The is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and The Gabelli Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gabelli Dividend 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 The Gabelli. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gabelli Dividend has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and The Gabelli go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and The Gabelli
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to generate 0.99 times more return on investment than The Gabelli. However, Petroleo Brasileiro Petrobras is 1.01 times less risky than The Gabelli. It trades about 0.13 of its potential returns per unit of risk. The Gabelli Dividend is currently generating about -0.1 per unit of risk. If you would invest 1,247 in Petroleo Brasileiro Petrobras on December 23, 2024 and sell it today you would earn a total of 169.00 from holding Petroleo Brasileiro Petrobras or generate 13.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. The Gabelli Dividend
Performance |
Timeline |
Petroleo Brasileiro |
Gabelli Dividend |
Petroleo Brasileiro and The Gabelli Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and The Gabelli
The main advantage of trading using opposite Petroleo Brasileiro and The Gabelli positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, The Gabelli 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 The Gabelli will offset losses from the drop in The Gabelli'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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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