Correlation Between Bank of America and Cue Biopharma
Can any of the company-specific risk be diversified away by investing in both Bank of America and Cue Biopharma 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 Cue Biopharma 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 Cue Biopharma, you can compare the effects of market volatilities on Bank of America and Cue Biopharma 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 Cue Biopharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Cue Biopharma.
Diversification Opportunities for Bank of America and Cue Biopharma
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Cue is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Cue Biopharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cue Biopharma 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 Cue Biopharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cue Biopharma has no effect on the direction of Bank of America i.e., Bank of America and Cue Biopharma go up and down completely randomly.
Pair Corralation between Bank of America and Cue Biopharma
Considering the 90-day investment horizon Bank of America is expected to generate 0.27 times more return on investment than Cue Biopharma. However, Bank of America is 3.67 times less risky than Cue Biopharma. It trades about 0.27 of its potential returns per unit of risk. Cue Biopharma is currently generating about -0.26 per unit of risk. If you would invest 4,262 in Bank of America on August 29, 2024 and sell it today you would earn a total of 513.00 from holding Bank of America or generate 12.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Cue Biopharma
Performance |
| Timeline |
| Bank of America |
| Cue Biopharma |
Bank of America and Cue Biopharma Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Cue Biopharma
The main advantage of trading using opposite Bank of America and Cue Biopharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Cue Biopharma 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 Cue Biopharma will offset losses from the drop in Cue Biopharma's long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Nova |
| Cue Biopharma vs. Coya Therapeutics, Common | Cue Biopharma vs. Lantern Pharma | Cue Biopharma vs. Fennec Pharmaceuticals | Cue Biopharma vs. Eliem Therapeutics |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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