Correlation Between Bank of America and Black Mammoth
Can any of the company-specific risk be diversified away by investing in both Bank of America and Black Mammoth 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 Black Mammoth 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 Black Mammoth Metals, you can compare the effects of market volatilities on Bank of America and Black Mammoth 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 Black Mammoth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Black Mammoth.
Diversification Opportunities for Bank of America and Black Mammoth
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bank and Black is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Black Mammoth Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Black Mammoth Metals 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 Black Mammoth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Black Mammoth Metals has no effect on the direction of Bank of America i.e., Bank of America and Black Mammoth go up and down completely randomly.
Pair Corralation between Bank of America and Black Mammoth
Considering the 90-day investment horizon Bank of America is expected to under-perform the Black Mammoth. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 3.56 times less risky than Black Mammoth. The stock trades about -0.1 of its potential returns per unit of risk. The Black Mammoth Metals is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 65.00 in Black Mammoth Metals on November 28, 2024 and sell it today you would earn a total of 38.00 from holding Black Mammoth Metals or generate 58.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.08% |
Values | Daily Returns |
Bank of America vs. Black Mammoth Metals
Performance |
Timeline |
Bank of America |
Black Mammoth Metals |
Bank of America and Black Mammoth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Black Mammoth
The main advantage of trading using opposite Bank of America and Black Mammoth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Black Mammoth 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 Black Mammoth will offset losses from the drop in Black Mammoth's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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