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
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bank and Wells is 0.02. 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 0.78 times more return on investment than Wells Fargo. However, Bank of America is 1.28 times less risky than Wells Fargo. It trades about 0.09 of its potential returns per unit of risk. Wells Fargo is currently generating about 0.04 per unit of risk. If you would invest 1,675 in Bank of America on August 27, 2024 and sell it today you would earn a total of 610.00 from holding Bank of America or generate 36.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| 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. Bank of America | Bank of America vs. Bank of America | Bank of America vs. China Construction Bank | Bank of America vs. Bank of America |
| Wells Fargo vs. Bank of America | Wells Fargo vs. Bank of America | Wells Fargo vs. China Construction Bank | Wells Fargo vs. Bank of America |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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