Correlation Between Petroleo Brasileiro and Feng Ching
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Feng Ching 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 Feng Ching 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 Feng Ching Metal, you can compare the effects of market volatilities on Petroleo Brasileiro and Feng Ching 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 Feng Ching. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Feng Ching.
Diversification Opportunities for Petroleo Brasileiro and Feng Ching
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Petroleo and Feng is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Feng Ching Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Feng Ching Metal 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 Feng Ching. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Feng Ching Metal has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Feng Ching go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Feng Ching
Considering the 90-day investment horizon Petroleo Brasileiro is expected to generate 1.84 times less return on investment than Feng Ching. But when comparing it to its historical volatility, Petroleo Brasileiro Petrobras is 1.78 times less risky than Feng Ching. It trades about 0.13 of its potential returns per unit of risk. Feng Ching Metal is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,820 in Feng Ching Metal on December 29, 2024 and sell it today you would earn a total of 390.00 from holding Feng Ching Metal or generate 21.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.8% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Feng Ching Metal
Performance |
Timeline |
Petroleo Brasileiro |
Feng Ching Metal |
Petroleo Brasileiro and Feng Ching Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Feng Ching
The main advantage of trading using opposite Petroleo Brasileiro and Feng Ching positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Feng Ching 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 Feng Ching will offset losses from the drop in Feng Ching'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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