Correlation Between Bank of America and Digital Transformation
Can any of the company-specific risk be diversified away by investing in both Bank of America and Digital Transformation 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 Digital Transformation 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 Digital Transformation Opportunities, you can compare the effects of market volatilities on Bank of America and Digital Transformation 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 Digital Transformation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Digital Transformation.
Diversification Opportunities for Bank of America and Digital Transformation
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Digital is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Digital Transformation Opportu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Transformation 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 Digital Transformation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Transformation has no effect on the direction of Bank of America i.e., Bank of America and Digital Transformation go up and down completely randomly.
Pair Corralation between Bank of America and Digital Transformation
If you would invest 3,888 in Bank of America on September 16, 2024 and sell it today you would earn a total of 679.00 from holding Bank of America or generate 17.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 1.54% |
Values | Daily Returns |
Bank of America vs. Digital Transformation Opportu
Performance |
Timeline |
Bank of America |
Digital Transformation |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank of America and Digital Transformation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Digital Transformation
The main advantage of trading using opposite Bank of America and Digital Transformation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Digital Transformation 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 Digital Transformation will offset losses from the drop in Digital Transformation's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
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.
Other Complementary Tools
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |