Correlation Between BTG Pactual and Petroreconcavo
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and Petroreconcavo 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 BTG Pactual and Petroreconcavo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTG Pactual Logstica and Petroreconcavo SA, you can compare the effects of market volatilities on BTG Pactual and Petroreconcavo 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 BTG Pactual with a short position of Petroreconcavo. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and Petroreconcavo.
Diversification Opportunities for BTG Pactual and Petroreconcavo
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BTG and Petroreconcavo is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and Petroreconcavo SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petroreconcavo SA and BTG Pactual 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 BTG Pactual Logstica are associated (or correlated) with Petroreconcavo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petroreconcavo SA has no effect on the direction of BTG Pactual i.e., BTG Pactual and Petroreconcavo go up and down completely randomly.
Pair Corralation between BTG Pactual and Petroreconcavo
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to generate 0.35 times more return on investment than Petroreconcavo. However, BTG Pactual Logstica is 2.88 times less risky than Petroreconcavo. It trades about -0.06 of its potential returns per unit of risk. Petroreconcavo SA is currently generating about -0.03 per unit of risk. If you would invest 10,090 in BTG Pactual Logstica on September 2, 2024 and sell it today you would lose (590.00) from holding BTG Pactual Logstica or give up 5.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
BTG Pactual Logstica vs. Petroreconcavo SA
Performance |
| Timeline |
| BTG Pactual Logstica |
| Petroreconcavo SA |
BTG Pactual and Petroreconcavo Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BTG Pactual and Petroreconcavo
The main advantage of trading using opposite BTG Pactual and Petroreconcavo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, Petroreconcavo 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 Petroreconcavo will offset losses from the drop in Petroreconcavo's long position.| BTG Pactual vs. Plano Plano Desenvolvimento | BTG Pactual vs. Cable One | BTG Pactual vs. ATMA Participaes SA | BTG Pactual vs. British American Tobacco |
| Petroreconcavo vs. Petro Rio SA | Petroreconcavo vs. Banco BTG Pactual | Petroreconcavo vs. Ambipar Participaes e | Petroreconcavo vs. Mliuz SA |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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