Correlation Between Bank of America and Bank of New York
Can any of the company-specific risk be diversified away by investing in both Bank of America and Bank of New York 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 Bank of New York 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 The Bank of, you can compare the effects of market volatilities on Bank of America and Bank of New York 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 Bank of New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Bank of New York.
Diversification Opportunities for Bank of America and Bank of New York
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Bank is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and The Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of New York 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 Bank of New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of New York has no effect on the direction of Bank of America i.e., Bank of America and Bank of New York go up and down completely randomly.
Pair Corralation between Bank of America and Bank of New York
Assuming the 90 days trading horizon Bank of America is expected to generate 2.65 times less return on investment than Bank of New York. But when comparing it to its historical volatility, Bank of America is 3.21 times less risky than Bank of New York. It trades about 0.12 of its potential returns per unit of risk. The Bank of is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 7,715 in The Bank of on December 27, 2024 and sell it today you would earn a total of 733.00 from holding The Bank of or generate 9.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. The Bank of
Performance |
Timeline |
Bank of America |
Bank of New York |
Bank of America and Bank of New York Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Bank of New York
The main advantage of trading using opposite Bank of America and Bank of New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Bank of New York 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 Bank of New York will offset losses from the drop in Bank of New York's long position.Bank of America vs. Bank of America | Bank of America vs. Wells Fargo | Bank of America vs. Bank of America | Bank of America vs. China Construction Bank |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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