Correlation Between BTG Pactual and REAL INVESTOR
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and REAL INVESTOR 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 REAL INVESTOR 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 REAL INVESTOR FUNDO, you can compare the effects of market volatilities on BTG Pactual and REAL INVESTOR 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 REAL INVESTOR. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and REAL INVESTOR.
Diversification Opportunities for BTG Pactual and REAL INVESTOR
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BTG and REAL is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and REAL INVESTOR FUNDO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REAL INVESTOR 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 REAL INVESTOR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REAL INVESTOR FUNDO has no effect on the direction of BTG Pactual i.e., BTG Pactual and REAL INVESTOR go up and down completely randomly.
Pair Corralation between BTG Pactual and REAL INVESTOR
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to under-perform the REAL INVESTOR. In addition to that, BTG Pactual is 1.6 times more volatile than REAL INVESTOR FUNDO. It trades about -0.14 of its total potential returns per unit of risk. REAL INVESTOR FUNDO is currently generating about -0.2 per unit of volatility. If you would invest 10,800 in REAL INVESTOR FUNDO on September 13, 2024 and sell it today you would lose (1,000.00) from holding REAL INVESTOR FUNDO or give up 9.26% 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. REAL INVESTOR FUNDO
Performance |
Timeline |
BTG Pactual Logstica |
REAL INVESTOR FUNDO |
BTG Pactual and REAL INVESTOR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and REAL INVESTOR
The main advantage of trading using opposite BTG Pactual and REAL INVESTOR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, REAL INVESTOR 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 REAL INVESTOR will offset losses from the drop in REAL INVESTOR's long position.BTG Pactual vs. Fundo Investimento Imobiliario | BTG Pactual vs. KILIMA VOLKANO RECEBVEIS | BTG Pactual vs. DEVANT PROPERTIES FUNDO | BTG Pactual vs. SPARTA FIAGRO FDO |
REAL INVESTOR vs. BTG Pactual Logstica | REAL INVESTOR vs. Plano Plano Desenvolvimento | REAL INVESTOR vs. Companhia Habitasul de | REAL INVESTOR vs. FDO INV IMOB |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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