Correlation Between Bank of America and Gen Digital
Can any of the company-specific risk be diversified away by investing in both Bank of America and Gen Digital 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 Gen Digital 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 Gen Digital, you can compare the effects of market volatilities on Bank of America and Gen Digital 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 Gen Digital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Gen Digital.
Diversification Opportunities for Bank of America and Gen Digital
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Gen is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Gen Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gen Digital 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 Gen Digital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gen Digital has no effect on the direction of Bank of America i.e., Bank of America and Gen Digital go up and down completely randomly.
Pair Corralation between Bank of America and Gen Digital
Assuming the 90 days trading horizon Bank of America is expected to generate 1.94 times more return on investment than Gen Digital. However, Bank of America is 1.94 times more volatile than Gen Digital. It trades about 0.22 of its potential returns per unit of risk. Gen Digital is currently generating about 0.18 per unit of risk. If you would invest 5,452 in Bank of America on April 20, 2025 and sell it today you would earn a total of 1,138 from holding Bank of America or generate 20.87% 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. Gen Digital
Performance |
Timeline |
Bank of America |
Gen Digital |
Bank of America and Gen Digital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Gen Digital
The main advantage of trading using opposite Bank of America and Gen Digital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Gen Digital 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 Gen Digital will offset losses from the drop in Gen Digital's long position.Bank of America vs. American Airlines Group | Bank of America vs. TC Traders Club | Bank of America vs. Apartment Investment and | Bank of America vs. Omega Healthcare Investors, |
Gen Digital vs. Bank of America | Gen Digital vs. Citizens Financial Group, | Gen Digital vs. Verizon Communications | Gen Digital vs. Live Nation Entertainment, |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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