Correlation Between BTG Pactual and Xp Properties
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and Xp Properties 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 Xp Properties 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 Xp Properties Fundo, you can compare the effects of market volatilities on BTG Pactual and Xp Properties 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 Xp Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and Xp Properties.
Diversification Opportunities for BTG Pactual and Xp Properties
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BTG and XPPR11 is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and Xp Properties Fundo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xp Properties Fundo 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 Xp Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xp Properties Fundo has no effect on the direction of BTG Pactual i.e., BTG Pactual and Xp Properties go up and down completely randomly.
Pair Corralation between BTG Pactual and Xp Properties
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to generate 0.4 times more return on investment than Xp Properties. However, BTG Pactual Logstica is 2.52 times less risky than Xp Properties. It trades about -0.03 of its potential returns per unit of risk. Xp Properties Fundo is currently generating about -0.06 per unit of risk. If you would invest 9,516 in BTG Pactual Logstica on September 7, 2024 and sell it today you would lose (871.00) from holding BTG Pactual Logstica or give up 9.15% 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. Xp Properties Fundo
Performance |
Timeline |
BTG Pactual Logstica |
Xp Properties Fundo |
BTG Pactual and Xp Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and Xp Properties
The main advantage of trading using opposite BTG Pactual and Xp Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, Xp Properties 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 Xp Properties will offset losses from the drop in Xp Properties' long position.BTG Pactual vs. Hedge Aaa Fundo | BTG Pactual vs. Ourinvest Jpp Fundo | BTG Pactual vs. Kilima Fundo De | BTG Pactual vs. Luggo Fundo De |
Xp Properties vs. Energisa SA | Xp Properties vs. BTG Pactual Logstica | Xp Properties vs. Plano Plano Desenvolvimento | Xp Properties vs. Companhia Habitasul de |
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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