Correlation Between Bank of America and FlexShares Morningstar
Can any of the company-specific risk be diversified away by investing in both Bank of America and FlexShares Morningstar 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 FlexShares Morningstar 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 FlexShares Morningstar Global, you can compare the effects of market volatilities on Bank of America and FlexShares Morningstar 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 FlexShares Morningstar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and FlexShares Morningstar.
Diversification Opportunities for Bank of America and FlexShares Morningstar
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and FlexShares is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and FlexShares Morningstar Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FlexShares Morningstar 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 FlexShares Morningstar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FlexShares Morningstar has no effect on the direction of Bank of America i.e., Bank of America and FlexShares Morningstar go up and down completely randomly.
Pair Corralation between Bank of America and FlexShares Morningstar
Considering the 90-day investment horizon Bank of America is expected to under-perform the FlexShares Morningstar. In addition to that, Bank of America is 2.05 times more volatile than FlexShares Morningstar Global. It trades about -0.02 of its total potential returns per unit of risk. FlexShares Morningstar Global is currently generating about 0.16 per unit of volatility. If you would invest 3,591 in FlexShares Morningstar Global on December 29, 2024 and sell it today you would earn a total of 281.00 from holding FlexShares Morningstar Global or generate 7.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. FlexShares Morningstar Global
Performance |
Timeline |
Bank of America |
FlexShares Morningstar |
Bank of America and FlexShares Morningstar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and FlexShares Morningstar
The main advantage of trading using opposite Bank of America and FlexShares Morningstar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, FlexShares Morningstar 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 FlexShares Morningstar will offset losses from the drop in FlexShares Morningstar's 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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