Correlation Between Bank of America and Marine Bancorp
Can any of the company-specific risk be diversified away by investing in both Bank of America and Marine Bancorp 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 Marine Bancorp 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 Marine Bancorp of, you can compare the effects of market volatilities on Bank of America and Marine Bancorp 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 Marine Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Marine Bancorp.
Diversification Opportunities for Bank of America and Marine Bancorp
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Marine is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Marine Bancorp of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marine Bancorp 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 Marine Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marine Bancorp has no effect on the direction of Bank of America i.e., Bank of America and Marine Bancorp go up and down completely randomly.
Pair Corralation between Bank of America and Marine Bancorp
Considering the 90-day investment horizon Bank of America is expected to generate 15.83 times more return on investment than Marine Bancorp. However, Bank of America is 15.83 times more volatile than Marine Bancorp of. It trades about 0.07 of its potential returns per unit of risk. Marine Bancorp of is currently generating about 0.22 per unit of risk. If you would invest 4,561 in Bank of America on September 13, 2024 and sell it today you would earn a total of 61.50 from holding Bank of America or generate 1.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.45% |
| Values | Daily Returns |
Bank of America vs. Marine Bancorp of
Performance |
| Timeline |
| Bank of America |
| Marine Bancorp |
Bank of America and Marine Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Marine Bancorp
The main advantage of trading using opposite Bank of America and Marine Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Marine Bancorp 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 Marine Bancorp will offset losses from the drop in Marine Bancorp's long position.| Bank of America vs. Citigroup | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Canadian Imperial Bank |
| Marine Bancorp vs. Cheniere Energy Partners | Marine Bancorp vs. Mayfair Gold Corp | Marine Bancorp vs. Zhihu Inc ADR | Marine Bancorp vs. Grupo Aeroportuario del |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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