Correlation Between Bank of America and Washington Federal
Can any of the company-specific risk be diversified away by investing in both Bank of America and Washington Federal 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 Washington Federal 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 Washington Federal, you can compare the effects of market volatilities on Bank of America and Washington Federal 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 Washington Federal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Washington Federal.
Diversification Opportunities for Bank of America and Washington Federal
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Washington is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Washington Federal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Washington Federal 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 Washington Federal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Washington Federal has no effect on the direction of Bank of America i.e., Bank of America and Washington Federal go up and down completely randomly.
Pair Corralation between Bank of America and Washington Federal
Assuming the 90 days trading horizon Bank of America is expected to under-perform the Washington Federal. But the preferred stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.67 times less risky than Washington Federal. The preferred stock trades about -0.08 of its potential returns per unit of risk. The Washington Federal is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,738 in Washington Federal on September 4, 2024 and sell it today you would earn a total of 45.00 from holding Washington Federal or generate 2.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Bank of America vs. Washington Federal
Performance |
Timeline |
Bank of America |
Washington Federal |
Bank of America and Washington Federal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Washington Federal
The main advantage of trading using opposite Bank of America and Washington Federal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Washington Federal 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 Washington Federal will offset losses from the drop in Washington Federal's long position.Bank of America vs. Wells Fargo | Bank of America vs. Wells Fargo | Bank of America vs. Bank of America | Bank of America vs. Wells Fargo |
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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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