Correlation Between Petroleo Brasileiro and Intesa Sanpaolo
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Intesa Sanpaolo 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 Intesa Sanpaolo 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 Intesa Sanpaolo SpA, you can compare the effects of market volatilities on Petroleo Brasileiro and Intesa Sanpaolo 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 Intesa Sanpaolo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Intesa Sanpaolo.
Diversification Opportunities for Petroleo Brasileiro and Intesa Sanpaolo
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Petroleo and Intesa is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Intesa Sanpaolo SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intesa Sanpaolo SpA 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 Intesa Sanpaolo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intesa Sanpaolo SpA has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Intesa Sanpaolo go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Intesa Sanpaolo
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the Intesa Sanpaolo. In addition to that, Petroleo Brasileiro is 1.47 times more volatile than Intesa Sanpaolo SpA. It trades about -0.1 of its total potential returns per unit of risk. Intesa Sanpaolo SpA is currently generating about 0.12 per unit of volatility. If you would invest 377.00 in Intesa Sanpaolo SpA on September 17, 2024 and sell it today you would earn a total of 12.00 from holding Intesa Sanpaolo SpA or generate 3.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Intesa Sanpaolo SpA
Performance |
Timeline |
Petroleo Brasileiro |
Intesa Sanpaolo SpA |
Petroleo Brasileiro and Intesa Sanpaolo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Intesa Sanpaolo
The main advantage of trading using opposite Petroleo Brasileiro and Intesa Sanpaolo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Intesa Sanpaolo 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 Intesa Sanpaolo will offset losses from the drop in Intesa Sanpaolo'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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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