Correlation Between Bank of America and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both Bank of America and Wells Fargo 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 Wells Fargo 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 Wells Fargo, you can compare the effects of market volatilities on Bank of America and Wells Fargo 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 Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Wells Fargo.
Diversification Opportunities for Bank of America and Wells Fargo
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Wells is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Wells Fargo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo 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 Wells Fargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wells Fargo has no effect on the direction of Bank of America i.e., Bank of America and Wells Fargo go up and down completely randomly.
Pair Corralation between Bank of America and Wells Fargo
Assuming the 90 days trading horizon Bank of America is expected to generate 1.16 times less return on investment than Wells Fargo. In addition to that, Bank of America is 1.01 times more volatile than Wells Fargo. It trades about 0.05 of its total potential returns per unit of risk. Wells Fargo is currently generating about 0.06 per unit of volatility. If you would invest 1,828 in Wells Fargo on August 24, 2024 and sell it today you would earn a total of 94.00 from holding Wells Fargo or generate 5.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Wells Fargo
Performance |
| Timeline |
| Bank of America |
| Wells Fargo |
Bank of America and Wells Fargo Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Wells Fargo
The main advantage of trading using opposite Bank of America and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Wells Fargo 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 Wells Fargo will offset losses from the drop in Wells Fargo's long position.| Bank of America vs. JPMorgan Chase Co | Bank of America vs. JPMorgan Chase Co | Bank of America vs. Bank of America | Bank of America vs. Wells Fargo |
| Wells Fargo vs. JPMorgan Chase Co | Wells Fargo vs. JPMorgan Chase Co | Wells Fargo vs. Bank of America | Wells Fargo vs. Wells Fargo |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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