Correlation Between Bank of America and Consumer Products
Can any of the company-specific risk be diversified away by investing in both Bank of America and Consumer Products 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 Consumer Products 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 Consumer Products Fund, you can compare the effects of market volatilities on Bank of America and Consumer Products 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 Consumer Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Consumer Products.
Diversification Opportunities for Bank of America and Consumer Products
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Consumer is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Consumer Products Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Products 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 Consumer Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Products has no effect on the direction of Bank of America i.e., Bank of America and Consumer Products go up and down completely randomly.
Pair Corralation between Bank of America and Consumer Products
Considering the 90-day investment horizon Bank of America is expected to generate 1.83 times more return on investment than Consumer Products. However, Bank of America is 1.83 times more volatile than Consumer Products Fund. It trades about 0.05 of its potential returns per unit of risk. Consumer Products Fund is currently generating about -0.03 per unit of risk. If you would invest 3,369 in Bank of America on November 5, 2024 and sell it today you would earn a total of 1,261 from holding Bank of America or generate 37.43% 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. Consumer Products Fund
Performance |
| Timeline |
| Bank of America |
| Consumer Products |
Bank of America and Consumer Products Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Consumer Products
The main advantage of trading using opposite Bank of America and Consumer Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Consumer Products 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 Consumer Products will offset losses from the drop in Consumer Products' long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Royal Bank of | Bank of America vs. Canadian Imperial Bank |
| Consumer Products vs. Basic Materials Fund | Consumer Products vs. Basic Materials Fund | Consumer Products vs. Banking Fund Class | Consumer Products vs. Basic Materials Fund |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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