Correlation Between Petroleo Brasileiro and Far East
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Far East 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 Far East 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 Far East Horizon, you can compare the effects of market volatilities on Petroleo Brasileiro and Far East 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 Far East. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Far East.
Diversification Opportunities for Petroleo Brasileiro and Far East
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Petroleo and Far is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Far East Horizon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Far East Horizon 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 Far East. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Far East Horizon has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Far East go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Far East
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the Far East. But the stock apears to be less risky and, when comparing its historical volatility, Petroleo Brasileiro Petrobras is 5.24 times less risky than Far East. The stock trades about 0.0 of its potential returns per unit of risk. The Far East Horizon is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 27.00 in Far East Horizon on September 23, 2024 and sell it today you would earn a total of 35.00 from holding Far East Horizon or generate 129.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.69% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Far East Horizon
Performance |
Timeline |
Petroleo Brasileiro |
Far East Horizon |
Petroleo Brasileiro and Far East Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Far East
The main advantage of trading using opposite Petroleo Brasileiro and Far East positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Far East 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 Far East will offset losses from the drop in Far East's long position.Petroleo Brasileiro vs. BP PLC ADR | Petroleo Brasileiro vs. Shell PLC ADR | Petroleo Brasileiro vs. Suncor Energy | Petroleo Brasileiro vs. TotalEnergies SE ADR |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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