Correlation Between Petroleo Brasileiro and Christian Dior
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and Christian Dior 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 Christian Dior 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 Christian Dior SE, you can compare the effects of market volatilities on Petroleo Brasileiro and Christian Dior 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 Christian Dior. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Christian Dior.
Diversification Opportunities for Petroleo Brasileiro and Christian Dior
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Petroleo and Christian is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Christian Dior SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Christian Dior SE 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 Christian Dior. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Christian Dior SE has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Christian Dior go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Christian Dior
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to generate 1.17 times more return on investment than Christian Dior. However, Petroleo Brasileiro is 1.17 times more volatile than Christian Dior SE. It trades about -0.01 of its potential returns per unit of risk. Christian Dior SE is currently generating about -0.05 per unit of risk. If you would invest 1,394 in Petroleo Brasileiro Petrobras on October 2, 2024 and sell it today you would lose (106.00) from holding Petroleo Brasileiro Petrobras or give up 7.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.57% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Christian Dior SE
Performance |
Timeline |
Petroleo Brasileiro |
Christian Dior SE |
Petroleo Brasileiro and Christian Dior Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Christian Dior
The main advantage of trading using opposite Petroleo Brasileiro and Christian Dior positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Christian Dior 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 Christian Dior will offset losses from the drop in Christian Dior'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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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