Correlation Between Bank of America and Spectrum Income
Can any of the company-specific risk be diversified away by investing in both Bank of America and Spectrum 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 Spectrum 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 Spectrum Income Fund, you can compare the effects of market volatilities on Bank of America and Spectrum 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 Spectrum Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Spectrum Income.
Diversification Opportunities for Bank of America and Spectrum Income
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Spectrum is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Spectrum Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spectrum Income 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 Spectrum Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spectrum Income has no effect on the direction of Bank of America i.e., Bank of America and Spectrum Income go up and down completely randomly.
Pair Corralation between Bank of America and Spectrum Income
Considering the 90-day investment horizon Bank of America is expected to generate 7.33 times more return on investment than Spectrum Income. However, Bank of America is 7.33 times more volatile than Spectrum Income Fund. It trades about 0.28 of its potential returns per unit of risk. Spectrum Income Fund is currently generating about 0.28 per unit of risk. If you would invest 3,946 in Bank of America on April 25, 2025 and sell it today you would earn a total of 868.00 from holding Bank of America or generate 22.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Spectrum Income Fund
Performance |
Timeline |
Bank of America |
Spectrum Income |
Bank of America and Spectrum Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Spectrum Income
The main advantage of trading using opposite Bank of America and Spectrum Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Spectrum 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 Spectrum Income will offset losses from the drop in Spectrum Income's long position.Bank of America vs. JPMorgan Chase Co | Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank |
Spectrum Income vs. Spectrum Growth Fund | Spectrum Income vs. T Rowe Price | Spectrum Income vs. T Rowe Price | Spectrum Income 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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