Correlation Between Bank of America and Dana Resources
Can any of the company-specific risk be diversified away by investing in both Bank of America and Dana Resources 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 Dana Resources 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 Dana Resources, you can compare the effects of market volatilities on Bank of America and Dana Resources 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 Dana Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Dana Resources.
Diversification Opportunities for Bank of America and Dana Resources
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Dana is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Dana Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dana Resources 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 Dana Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dana Resources has no effect on the direction of Bank of America i.e., Bank of America and Dana Resources go up and down completely randomly.
Pair Corralation between Bank of America and Dana Resources
Considering the 90-day investment horizon Bank of America is expected to generate 0.3 times more return on investment than Dana Resources. However, Bank of America is 3.35 times less risky than Dana Resources. It trades about 0.11 of its potential returns per unit of risk. Dana Resources is currently generating about -0.05 per unit of risk. If you would invest 2,650 in Bank of America on August 29, 2024 and sell it today you would earn a total of 2,125 from holding Bank of America or generate 80.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Dana Resources
Performance |
| Timeline |
| Bank of America |
| Dana Resources |
Bank of America and Dana Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Dana Resources
The main advantage of trading using opposite Bank of America and Dana Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Dana Resources 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 Dana Resources will offset losses from the drop in Dana Resources' long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Nova |
| Dana Resources vs. Peak Resources Limited | Dana Resources vs. Glen Eagle Resources | Dana Resources vs. Metals Creek Resources | Dana Resources vs. Regulus Resources |
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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