Correlation Between Bank of America and ECD Automotive
Can any of the company-specific risk be diversified away by investing in both Bank of America and ECD Automotive 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 ECD Automotive 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 ECD Automotive Design, you can compare the effects of market volatilities on Bank of America and ECD Automotive 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 ECD Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and ECD Automotive.
Diversification Opportunities for Bank of America and ECD Automotive
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and ECD is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and ECD Automotive Design in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ECD Automotive Design 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 ECD Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ECD Automotive Design has no effect on the direction of Bank of America i.e., Bank of America and ECD Automotive go up and down completely randomly.
Pair Corralation between Bank of America and ECD Automotive
Considering the 90-day investment horizon Bank of America is expected to generate 0.44 times more return on investment than ECD Automotive. However, Bank of America is 2.27 times less risky than ECD Automotive. It trades about 0.24 of its potential returns per unit of risk. ECD Automotive Design is currently generating about -0.08 per unit of risk. If you would invest 3,945 in Bank of America on August 25, 2024 and sell it today you would earn a total of 755.00 from holding Bank of America or generate 19.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. ECD Automotive Design
Performance |
| Timeline |
| Bank of America |
| ECD Automotive Design |
Bank of America and ECD Automotive Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and ECD Automotive
The main advantage of trading using opposite Bank of America and ECD Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, ECD Automotive 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 ECD Automotive will offset losses from the drop in ECD Automotive's long position.| Bank of America vs. Toronto Dominion Bank | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal |
| ECD Automotive vs. Ambev SA ADR | ECD Automotive vs. Oatly Group AB | ECD Automotive vs. Keurig Dr Pepper | ECD Automotive vs. Anheuser Busch Inbev |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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