Correlation Between Bank of America and New Jersey
Can any of the company-specific risk be diversified away by investing in both Bank of America and New Jersey 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 New Jersey 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 New Jersey Tax Free, you can compare the effects of market volatilities on Bank of America and New Jersey 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 New Jersey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and New Jersey.
Diversification Opportunities for Bank of America and New Jersey
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and New is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and New Jersey Tax Free in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Jersey Tax 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 New Jersey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Jersey Tax has no effect on the direction of Bank of America i.e., Bank of America and New Jersey go up and down completely randomly.
Pair Corralation between Bank of America and New Jersey
Considering the 90-day investment horizon Bank of America is expected to generate 6.96 times more return on investment than New Jersey. However, Bank of America is 6.96 times more volatile than New Jersey Tax Free. It trades about 0.14 of its potential returns per unit of risk. New Jersey Tax Free is currently generating about 0.18 per unit of risk. If you would invest 2,756 in Bank of America on September 1, 2024 and sell it today you would earn a total of 1,995 from holding Bank of America or generate 72.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.63% |
| Values | Daily Returns |
Bank of America vs. New Jersey Tax Free
Performance |
| Timeline |
| Bank of America |
| New Jersey Tax |
Bank of America and New Jersey Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and New Jersey
The main advantage of trading using opposite Bank of America and New Jersey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, New Jersey 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 New Jersey will offset losses from the drop in New Jersey'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. Bank of Montreal |
| New Jersey vs. T Rowe Price | New Jersey vs. T Rowe Price | New Jersey vs. T Rowe Price | New Jersey vs. T Rowe Price |
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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