Correlation Between Bank of America and Aston Martin
Can any of the company-specific risk be diversified away by investing in both Bank of America and Aston Martin 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 Aston Martin 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 Aston Martin Lagonda, you can compare the effects of market volatilities on Bank of America and Aston Martin 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 Aston Martin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Aston Martin.
Diversification Opportunities for Bank of America and Aston Martin
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Aston is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Aston Martin Lagonda in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aston Martin Lagonda 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 Aston Martin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aston Martin Lagonda has no effect on the direction of Bank of America i.e., Bank of America and Aston Martin go up and down completely randomly.
Pair Corralation between Bank of America and Aston Martin
Considering the 90-day investment horizon Bank of America is expected to generate 0.56 times more return on investment than Aston Martin. However, Bank of America is 1.78 times less risky than Aston Martin. It trades about 0.31 of its potential returns per unit of risk. Aston Martin Lagonda is currently generating about -0.11 per unit of risk. If you would invest 4,182 in Bank of America on September 1, 2024 and sell it today you would earn a total of 569.00 from holding Bank of America or generate 13.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Aston Martin Lagonda
Performance |
| Timeline |
| Bank of America |
| Aston Martin Lagonda |
Bank of America and Aston Martin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Aston Martin
The main advantage of trading using opposite Bank of America and Aston Martin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Aston Martin 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 Aston Martin will offset losses from the drop in Aston Martin's long position.| Bank of America vs. Citigroup | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of | Bank of America vs. JPMorgan Chase Co |
| Aston Martin vs. Geely Automobile Holdings | Aston Martin vs. Guangzhou Automobile Group | Aston Martin vs. Dowlais Group plc | Aston Martin vs. NFI Group |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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