Correlation Between GM and Banco Da
Can any of the company-specific risk be diversified away by investing in both GM and Banco Da 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 GM and Banco Da into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Banco da Amaznia, you can compare the effects of market volatilities on GM and Banco Da 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 GM with a short position of Banco Da. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Banco Da.
Diversification Opportunities for GM and Banco Da
Excellent diversification
The 3 months correlation between GM and Banco is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Banco da Amaznia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banco da Amaznia and GM 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 General Motors are associated (or correlated) with Banco Da. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banco da Amaznia has no effect on the direction of GM i.e., GM and Banco Da go up and down completely randomly.
Pair Corralation between GM and Banco Da
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Banco Da. In addition to that, GM is 2.46 times more volatile than Banco da Amaznia. It trades about -0.06 of its total potential returns per unit of risk. Banco da Amaznia is currently generating about 0.08 per unit of volatility. If you would invest 8,595 in Banco da Amaznia on December 28, 2024 and sell it today you would earn a total of 455.00 from holding Banco da Amaznia or generate 5.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Banco da Amaznia
Performance |
Timeline |
General Motors |
Banco da Amaznia |
GM and Banco Da Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Banco Da
The main advantage of trading using opposite GM and Banco Da positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Banco Da 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 Banco Da will offset losses from the drop in Banco Da's long position.The idea behind General Motors and Banco da Amaznia pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Banco Da vs. Banestes SA | Banco Da vs. Banco Mercantil do | Banco Da vs. Banco do Nordeste | Banco Da vs. Banco do Estado |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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