Correlation Between Btg Pactual and BB Renda
Can any of the company-specific risk be diversified away by investing in both Btg Pactual and BB Renda 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 BB Renda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Btg Pactual Real and BB Renda Corporativa, you can compare the effects of market volatilities on Btg Pactual and BB Renda 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 BB Renda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Btg Pactual and BB Renda.
Diversification Opportunities for Btg Pactual and BB Renda
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Btg and BBRC11 is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Btg Pactual Real and BB Renda Corporativa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BB Renda Corporativa 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 Real are associated (or correlated) with BB Renda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BB Renda Corporativa has no effect on the direction of Btg Pactual i.e., Btg Pactual and BB Renda go up and down completely randomly.
Pair Corralation between Btg Pactual and BB Renda
Assuming the 90 days trading horizon Btg Pactual Real is expected to under-perform the BB Renda. But the fund apears to be less risky and, when comparing its historical volatility, Btg Pactual Real is 1.09 times less risky than BB Renda. The fund trades about -0.84 of its potential returns per unit of risk. The BB Renda Corporativa is currently generating about -0.25 of returns per unit of risk over similar time horizon. If you would invest 9,946 in BB Renda Corporativa on October 25, 2024 and sell it today you would lose (448.00) from holding BB Renda Corporativa or give up 4.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Btg Pactual Real vs. BB Renda Corporativa
Performance |
Timeline |
Btg Pactual Real |
BB Renda Corporativa |
Btg Pactual and BB Renda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Btg Pactual and BB Renda
The main advantage of trading using opposite Btg Pactual and BB Renda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Btg Pactual position performs unexpectedly, BB Renda 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 BB Renda will offset losses from the drop in BB Renda's long position.Btg Pactual vs. BTG Pactual Logstica | Btg Pactual vs. Fundo Investimento Imobiliario | Btg Pactual vs. KILIMA VOLKANO RECEBVEIS | Btg Pactual vs. DEVANT PROPERTIES FUNDO |
BB Renda vs. BTG Pactual Logstica | BB Renda vs. Btg Pactual Real | BB Renda vs. Fundo Investimento Imobiliario | BB Renda vs. KILIMA VOLKANO RECEBVEIS |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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