Correlation Between Petroleo Brasileiro and Cobalt Power
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Cobalt Power 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 Cobalt Power 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 Cobalt Power Group, you can compare the effects of market volatilities on Petroleo Brasileiro and Cobalt Power 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 Cobalt Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Cobalt Power.
Diversification Opportunities for Petroleo Brasileiro and Cobalt Power
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Petroleo and Cobalt is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Cobalt Power Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cobalt Power 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 Cobalt Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cobalt Power Group has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Cobalt Power go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Cobalt Power
Considering the 90-day investment horizon Petroleo Brasileiro is expected to generate 13.06 times less return on investment than Cobalt Power. But when comparing it to its historical volatility, Petroleo Brasileiro Petrobras is 11.79 times less risky than Cobalt Power. It trades about 0.07 of its potential returns per unit of risk. Cobalt Power Group is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 15.00 in Cobalt Power Group on October 3, 2024 and sell it today you would lose (12.50) from holding Cobalt Power Group or give up 83.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Cobalt Power Group
Performance |
Timeline |
Petroleo Brasileiro |
Cobalt Power Group |
Petroleo Brasileiro and Cobalt Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Cobalt Power
The main advantage of trading using opposite Petroleo Brasileiro and Cobalt Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Cobalt Power 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 Cobalt Power will offset losses from the drop in Cobalt Power'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 |
Cobalt Power vs. Summa Silver Corp | Cobalt Power vs. Bip Investment Corp | Cobalt Power vs. Monument Mining Limited | Cobalt Power vs. Gatos Silver |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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