Correlation Between Waste Management and BTG Pactual
Can any of the company-specific risk be diversified away by investing in both Waste Management and BTG Pactual 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 Waste Management and BTG Pactual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Waste Management and BTG Pactual Logstica, you can compare the effects of market volatilities on Waste Management and BTG Pactual 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 Waste Management with a short position of BTG Pactual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Waste Management and BTG Pactual.
Diversification Opportunities for Waste Management and BTG Pactual
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Waste and BTG is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Waste Management and BTG Pactual Logstica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTG Pactual Logstica and Waste Management 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 Waste Management are associated (or correlated) with BTG Pactual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTG Pactual Logstica has no effect on the direction of Waste Management i.e., Waste Management and BTG Pactual go up and down completely randomly.
Pair Corralation between Waste Management and BTG Pactual
Assuming the 90 days trading horizon Waste Management is expected to generate 3.25 times less return on investment than BTG Pactual. But when comparing it to its historical volatility, Waste Management is 1.68 times less risky than BTG Pactual. It trades about 0.15 of its potential returns per unit of risk. BTG Pactual Logstica is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 8,875 in BTG Pactual Logstica on October 21, 2024 and sell it today you would earn a total of 665.00 from holding BTG Pactual Logstica or generate 7.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 88.89% |
Values | Daily Returns |
Waste Management vs. BTG Pactual Logstica
Performance |
Timeline |
Waste Management |
BTG Pactual Logstica |
Waste Management and BTG Pactual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Waste Management and BTG Pactual
The main advantage of trading using opposite Waste Management and BTG Pactual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Waste Management position performs unexpectedly, BTG Pactual 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 BTG Pactual will offset losses from the drop in BTG Pactual's long position.Waste Management vs. Annaly Capital Management, | Waste Management vs. NXP Semiconductors NV | Waste Management vs. Academy Sports and | Waste Management vs. Globus Medical, |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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