Correlation Between Petroleo Brasileiro and Dignitana
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Dignitana 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 Dignitana 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 Dignitana AB, you can compare the effects of market volatilities on Petroleo Brasileiro and Dignitana 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 Dignitana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Dignitana.
Diversification Opportunities for Petroleo Brasileiro and Dignitana
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Petroleo and Dignitana is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Dignitana AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dignitana AB 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 Dignitana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dignitana AB has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Dignitana go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Dignitana
Considering the 90-day investment horizon Petroleo Brasileiro is expected to generate 8.83 times less return on investment than Dignitana. But when comparing it to its historical volatility, Petroleo Brasileiro Petrobras is 7.09 times less risky than Dignitana. It trades about 0.13 of its potential returns per unit of risk. Dignitana AB is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 96.00 in Dignitana AB on December 28, 2024 and sell it today you would earn a total of 116.00 from holding Dignitana AB or generate 120.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Dignitana AB
Performance |
Timeline |
Petroleo Brasileiro |
Dignitana AB |
Petroleo Brasileiro and Dignitana Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Dignitana
The main advantage of trading using opposite Petroleo Brasileiro and Dignitana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Dignitana 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 Dignitana will offset losses from the drop in Dignitana's long position.Petroleo Brasileiro vs. BP PLC ADR | Petroleo Brasileiro vs. Shell PLC ADR | Petroleo Brasileiro vs. Suncor Energy | Petroleo Brasileiro vs. Petrleo Brasileiro SA |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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