Correlation Between Bank of America and Grupo Nacional
Can any of the company-specific risk be diversified away by investing in both Bank of America and Grupo Nacional 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 Bank of America and Grupo Nacional into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and Grupo Nacional Provincial, you can compare the effects of market volatilities on Bank of America and Grupo Nacional 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 Bank of America with a short position of Grupo Nacional. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Grupo Nacional.
Diversification Opportunities for Bank of America and Grupo Nacional
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Grupo is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Grupo Nacional Provincial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo Nacional Provincial and Bank of America 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 Bank of America are associated (or correlated) with Grupo Nacional. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grupo Nacional Provincial has no effect on the direction of Bank of America i.e., Bank of America and Grupo Nacional go up and down completely randomly.
Pair Corralation between Bank of America and Grupo Nacional
Assuming the 90 days trading horizon Bank of America is expected to under-perform the Grupo Nacional. In addition to that, Bank of America is 1.41 times more volatile than Grupo Nacional Provincial. It trades about -0.06 of its total potential returns per unit of risk. Grupo Nacional Provincial is currently generating about 0.17 per unit of volatility. If you would invest 11,577 in Grupo Nacional Provincial on December 28, 2024 and sell it today you would earn a total of 1,423 from holding Grupo Nacional Provincial or generate 12.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Bank of America vs. Grupo Nacional Provincial
Performance |
Timeline |
Bank of America |
Grupo Nacional Provincial |
Bank of America and Grupo Nacional Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Grupo Nacional
The main advantage of trading using opposite Bank of America and Grupo Nacional positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Grupo Nacional 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 Grupo Nacional will offset losses from the drop in Grupo Nacional's long position.Bank of America vs. Applied Materials | Bank of America vs. Micron Technology | Bank of America vs. Costco Wholesale | Bank of America vs. Grupo Sports World |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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