Correlation Between Petroleo Brasileiro and SJM Holdings
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and SJM Holdings 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 SJM Holdings 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 SJM Holdings Ltd, you can compare the effects of market volatilities on Petroleo Brasileiro and SJM Holdings 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 SJM Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and SJM Holdings.
Diversification Opportunities for Petroleo Brasileiro and SJM Holdings
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Petroleo and SJM is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and SJM Holdings Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SJM Holdings 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 SJM Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SJM Holdings has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and SJM Holdings go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and SJM Holdings
Considering the 90-day investment horizon Petroleo Brasileiro is expected to generate 1.37 times less return on investment than SJM Holdings. But when comparing it to its historical volatility, Petroleo Brasileiro Petrobras is 3.45 times less risky than SJM Holdings. It trades about 0.05 of its potential returns per unit of risk. SJM Holdings Ltd is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 136.00 in SJM Holdings Ltd on September 14, 2024 and sell it today you would lose (10.00) from holding SJM Holdings Ltd or give up 7.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. SJM Holdings Ltd
Performance |
Timeline |
Petroleo Brasileiro |
SJM Holdings |
Petroleo Brasileiro and SJM Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and SJM Holdings
The main advantage of trading using opposite Petroleo Brasileiro and SJM Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, SJM Holdings 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 SJM Holdings will offset losses from the drop in SJM Holdings' 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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