Correlation Between Bank of America and Dimensional Retirement
Can any of the company-specific risk be diversified away by investing in both Bank of America and Dimensional Retirement 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 Dimensional Retirement 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 Dimensional Retirement Income, you can compare the effects of market volatilities on Bank of America and Dimensional Retirement 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 Dimensional Retirement. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Dimensional Retirement.
Diversification Opportunities for Bank of America and Dimensional Retirement
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and Dimensional is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Dimensional Retirement Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dimensional Retirement 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 Dimensional Retirement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dimensional Retirement has no effect on the direction of Bank of America i.e., Bank of America and Dimensional Retirement go up and down completely randomly.
Pair Corralation between Bank of America and Dimensional Retirement
Considering the 90-day investment horizon Bank of America is expected to under-perform the Dimensional Retirement. In addition to that, Bank of America is 7.53 times more volatile than Dimensional Retirement Income. It trades about -0.05 of its total potential returns per unit of risk. Dimensional Retirement Income is currently generating about 0.1 per unit of volatility. If you would invest 1,142 in Dimensional Retirement Income on December 29, 2024 and sell it today you would earn a total of 15.00 from holding Dimensional Retirement Income or generate 1.31% 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. Dimensional Retirement Income
Performance |
Timeline |
Bank of America |
Dimensional Retirement |
Bank of America and Dimensional Retirement Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Dimensional Retirement
The main advantage of trading using opposite Bank of America and Dimensional Retirement positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Dimensional Retirement 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 Dimensional Retirement will offset losses from the drop in Dimensional Retirement'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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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