Correlation Between Bank of America and Metropolitan West
Can any of the company-specific risk be diversified away by investing in both Bank of America and Metropolitan West 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 Metropolitan West 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 Metropolitan West Total, you can compare the effects of market volatilities on Bank of America and Metropolitan West 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 Metropolitan West. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Metropolitan West.
Diversification Opportunities for Bank of America and Metropolitan West
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Metropolitan is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Metropolitan West Total in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metropolitan West Total 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 Metropolitan West. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metropolitan West Total has no effect on the direction of Bank of America i.e., Bank of America and Metropolitan West go up and down completely randomly.
Pair Corralation between Bank of America and Metropolitan West
Considering the 90-day investment horizon Bank of America is expected to generate 3.29 times more return on investment than Metropolitan West. However, Bank of America is 3.29 times more volatile than Metropolitan West Total. It trades about 0.1 of its potential returns per unit of risk. Metropolitan West Total is currently generating about 0.04 per unit of risk. If you would invest 2,820 in Bank of America on August 31, 2024 and sell it today you would earn a total of 1,931 from holding Bank of America or generate 68.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Metropolitan West Total
Performance |
Timeline |
Bank of America |
Metropolitan West Total |
Bank of America and Metropolitan West Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Metropolitan West
The main advantage of trading using opposite Bank of America and Metropolitan West positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Metropolitan West 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 Metropolitan West will offset losses from the drop in Metropolitan West's long position.Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
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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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