Correlation Between Petroleo Brasileiro and Sanxiang Advanced
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By analyzing existing cross correlation between Petroleo Brasileiro Petrobras and Sanxiang Advanced Materials, you can compare the effects of market volatilities on Petroleo Brasileiro and Sanxiang Advanced 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 Sanxiang Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Sanxiang Advanced.
Diversification Opportunities for Petroleo Brasileiro and Sanxiang Advanced
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Petroleo and Sanxiang is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Sanxiang Advanced Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sanxiang Advanced 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 Sanxiang Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sanxiang Advanced has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Sanxiang Advanced go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Sanxiang Advanced
Considering the 90-day investment horizon Petroleo Brasileiro is expected to generate 1.39 times less return on investment than Sanxiang Advanced. But when comparing it to its historical volatility, Petroleo Brasileiro Petrobras is 1.75 times less risky than Sanxiang Advanced. It trades about 0.07 of its potential returns per unit of risk. Sanxiang Advanced Materials is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 988.00 in Sanxiang Advanced Materials on October 12, 2024 and sell it today you would earn a total of 791.00 from holding Sanxiang Advanced Materials or generate 80.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.36% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Sanxiang Advanced Materials
Performance |
Timeline |
Petroleo Brasileiro |
Sanxiang Advanced |
Petroleo Brasileiro and Sanxiang Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Sanxiang Advanced
The main advantage of trading using opposite Petroleo Brasileiro and Sanxiang Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Sanxiang Advanced 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 Sanxiang Advanced will offset losses from the drop in Sanxiang Advanced'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 |
Sanxiang Advanced vs. Sinomach General Machinery | Sanxiang Advanced vs. Gifore Agricultural Machinery | Sanxiang Advanced vs. Weichai Heavy Machinery | Sanxiang Advanced vs. Chongqing Road Bridge |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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