Correlation Between Bank of America and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Bank of America and Eaton Vance 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 Eaton Vance 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 Eaton Vance Large Cap, you can compare the effects of market volatilities on Bank of America and Eaton Vance 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 Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Eaton Vance.
Diversification Opportunities for Bank of America and Eaton Vance
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Eaton is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Eaton Vance Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Large 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 Eaton Vance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eaton Vance Large has no effect on the direction of Bank of America i.e., Bank of America and Eaton Vance go up and down completely randomly.
Pair Corralation between Bank of America and Eaton Vance
Considering the 90-day investment horizon Bank of America is expected to generate 2.06 times more return on investment than Eaton Vance. However, Bank of America is 2.06 times more volatile than Eaton Vance Large Cap. It trades about 0.06 of its potential returns per unit of risk. Eaton Vance Large Cap is currently generating about 0.06 per unit of risk. If you would invest 3,113 in Bank of America on September 2, 2024 and sell it today you would earn a total of 1,638 from holding Bank of America or generate 52.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Eaton Vance Large Cap
Performance |
| Timeline |
| Bank of America |
| Eaton Vance Large |
Bank of America and Eaton Vance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Eaton Vance
The main advantage of trading using opposite Bank of America and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Eaton Vance 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 Eaton Vance will offset losses from the drop in Eaton Vance's long position.| Bank of America vs. Citigroup | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
| Eaton Vance vs. Eaton Vance Msschsts | Eaton Vance vs. Eaton Vance Municipal | Eaton Vance vs. Eaton Vance Municipal | Eaton Vance vs. Eaton Vance Municipal |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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