Correlation Between BTG Pactual and IShares IShares
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and IShares IShares 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 IShares IShares 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 iShares iShares, you can compare the effects of market volatilities on BTG Pactual and IShares IShares 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 IShares IShares. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and IShares IShares.
Diversification Opportunities for BTG Pactual and IShares IShares
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BTG and IShares is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and iShares iShares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares iShares 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 IShares IShares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares iShares has no effect on the direction of BTG Pactual i.e., BTG Pactual and IShares IShares go up and down completely randomly.
Pair Corralation between BTG Pactual and IShares IShares
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to under-perform the IShares IShares. In addition to that, BTG Pactual is 1.34 times more volatile than iShares iShares. It trades about -0.04 of its total potential returns per unit of risk. iShares iShares is currently generating about 0.15 per unit of volatility. If you would invest 5,664 in iShares iShares on September 27, 2024 and sell it today you would earn a total of 576.00 from holding iShares iShares or generate 10.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 96.77% |
Values | Daily Returns |
BTG Pactual Logstica vs. iShares iShares
Performance |
Timeline |
BTG Pactual Logstica |
iShares iShares |
BTG Pactual and IShares IShares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and IShares IShares
The main advantage of trading using opposite BTG Pactual and IShares IShares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, IShares IShares 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 IShares IShares will offset losses from the drop in IShares IShares' long position.BTG Pactual vs. Pedra Dourada Fundo | BTG Pactual vs. Vbi Consumo Essencial | BTG Pactual vs. Plano Plano Desenvolvimento | BTG Pactual vs. S1YM34 |
IShares IShares vs. Trend Etf Msci | IShares IShares vs. BTG Pactual Logstica | IShares IShares vs. Plano Plano Desenvolvimento | IShares IShares vs. S1YM34 |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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