Correlation Between Bank of America and Affiliated Managers
Can any of the company-specific risk be diversified away by investing in both Bank of America and Affiliated Managers 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 Affiliated Managers 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 Affiliated Managers Group, you can compare the effects of market volatilities on Bank of America and Affiliated Managers 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 Affiliated Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Affiliated Managers.
Diversification Opportunities for Bank of America and Affiliated Managers
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Affiliated is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Affiliated Managers Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Affiliated Managers 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 Affiliated Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Affiliated Managers has no effect on the direction of Bank of America i.e., Bank of America and Affiliated Managers go up and down completely randomly.
Pair Corralation between Bank of America and Affiliated Managers
Considering the 90-day investment horizon Bank of America is expected to under-perform the Affiliated Managers. In addition to that, Bank of America is 1.95 times more volatile than Affiliated Managers Group. It trades about -0.02 of its total potential returns per unit of risk. Affiliated Managers Group is currently generating about -0.01 per unit of volatility. If you would invest 2,157 in Affiliated Managers Group on December 29, 2024 and sell it today you would lose (10.00) from holding Affiliated Managers Group or give up 0.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Affiliated Managers Group
Performance |
Timeline |
Bank of America |
Affiliated Managers |
Bank of America and Affiliated Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Affiliated Managers
The main advantage of trading using opposite Bank of America and Affiliated Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Affiliated Managers 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 Affiliated Managers will offset losses from the drop in Affiliated Managers' long position.Bank of America vs. PJT Partners | Bank of America vs. National Bank Holdings | Bank of America vs. FB Financial Corp | Bank of America vs. Northrim BanCorp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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