Correlation Between Bank of America and MINT Income
Can any of the company-specific risk be diversified away by investing in both Bank of America and MINT Income 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 MINT Income 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 MINT Income Fund, you can compare the effects of market volatilities on Bank of America and MINT Income 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 MINT Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and MINT Income.
Diversification Opportunities for Bank of America and MINT Income
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and MINT is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and MINT Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MINT Income Fund 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 MINT Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MINT Income Fund has no effect on the direction of Bank of America i.e., Bank of America and MINT Income go up and down completely randomly.
Pair Corralation between Bank of America and MINT Income
Assuming the 90 days trading horizon Bank of America is expected to generate 2.27 times less return on investment than MINT Income. In addition to that, Bank of America is 1.18 times more volatile than MINT Income Fund. It trades about 0.06 of its total potential returns per unit of risk. MINT Income Fund is currently generating about 0.16 per unit of volatility. If you would invest 758.00 in MINT Income Fund on September 13, 2025 and sell it today you would earn a total of 25.00 from holding MINT Income Fund or generate 3.3% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. MINT Income Fund
Performance |
| Timeline |
| Bank of America |
| MINT Income Fund |
Bank of America and MINT Income Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and MINT Income
The main advantage of trading using opposite Bank of America and MINT Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, MINT Income 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 MINT Income will offset losses from the drop in MINT Income's long position.| Bank of America vs. High Liner Foods | Bank of America vs. Rockpoint Gas Storage | Bank of America vs. Leons Furniture Limited | Bank of America vs. A W FOOD |
| MINT Income vs. Blue Ribbon Income | MINT Income vs. Brookfield Global Infrastructure | MINT Income vs. Energy Income | MINT Income vs. Healthcare Special Opportunities |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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