Correlation Between Bank of America and Ultra-small Company
Can any of the company-specific risk be diversified away by investing in both Bank of America and Ultra-small Company 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 Ultra-small Company 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 Ultra Small Pany Fund, you can compare the effects of market volatilities on Bank of America and Ultra-small Company 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 Ultra-small Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Ultra-small Company.
Diversification Opportunities for Bank of America and Ultra-small Company
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Ultra-small is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Ultra Small Pany Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultra-small Company 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 Ultra-small Company. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultra-small Company has no effect on the direction of Bank of America i.e., Bank of America and Ultra-small Company go up and down completely randomly.
Pair Corralation between Bank of America and Ultra-small Company
Considering the 90-day investment horizon Bank of America is expected to generate 1.04 times more return on investment than Ultra-small Company. However, Bank of America is 1.04 times more volatile than Ultra Small Pany Fund. It trades about 0.06 of its potential returns per unit of risk. Ultra Small Pany Fund is currently generating about 0.03 per unit of risk. If you would invest 3,115 in Bank of America on September 3, 2024 and sell it today you would earn a total of 1,636 from holding Bank of America or generate 52.52% 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. Ultra Small Pany Fund
Performance |
Timeline |
Bank of America |
Ultra-small Company |
Bank of America and Ultra-small Company Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Ultra-small Company
The main advantage of trading using opposite Bank of America and Ultra-small Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Ultra-small Company 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 Ultra-small Company will offset losses from the drop in Ultra-small Company's long position.Bank of America vs. Partner Communications | Bank of America vs. Merck Company | Bank of America vs. Western Midstream Partners | Bank of America vs. Edgewise Therapeutics |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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