Correlation Between Bank of America and Global Managed
Can any of the company-specific risk be diversified away by investing in both Bank of America and Global Managed 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 Global Managed 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 Global Managed Volatility, you can compare the effects of market volatilities on Bank of America and Global Managed 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 Global Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Global Managed.
Diversification Opportunities for Bank of America and Global Managed
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Global is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Global Managed Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Managed Volatility 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 Global Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Managed Volatility has no effect on the direction of Bank of America i.e., Bank of America and Global Managed go up and down completely randomly.
Pair Corralation between Bank of America and Global Managed
Considering the 90-day investment horizon Bank of America is expected to generate 3.43 times more return on investment than Global Managed. However, Bank of America is 3.43 times more volatile than Global Managed Volatility. It trades about 0.27 of its potential returns per unit of risk. Global Managed Volatility is currently generating about 0.09 per unit of risk. If you would invest 4,262 in Bank of America on August 29, 2024 and sell it today you would earn a total of 523.50 from holding Bank of America or generate 12.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Global Managed Volatility
Performance |
| Timeline |
| Bank of America |
| Global Managed Volatility |
Bank of America and Global Managed Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Global Managed
The main advantage of trading using opposite Bank of America and Global Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Global Managed 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 Global Managed will offset losses from the drop in Global Managed's long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. JPMorgan Chase Co |
| Global Managed vs. Mirova Global Green | Global Managed vs. T Rowe Price | Global Managed vs. Sterling Capital Short | Global Managed vs. Transamerica Funds |
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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