Correlation Between Bank of America and FT Cboe
Can any of the company-specific risk be diversified away by investing in both Bank of America and FT Cboe 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 FT Cboe 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 FT Cboe Vest, you can compare the effects of market volatilities on Bank of America and FT Cboe 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 FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and FT Cboe.
Diversification Opportunities for Bank of America and FT Cboe
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and DSEP is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of Bank of America i.e., Bank of America and FT Cboe go up and down completely randomly.
Pair Corralation between Bank of America and FT Cboe
Considering the 90-day investment horizon Bank of America is expected to generate 4.29 times more return on investment than FT Cboe. However, Bank of America is 4.29 times more volatile than FT Cboe Vest. It trades about 0.1 of its potential returns per unit of risk. FT Cboe Vest is currently generating about 0.16 per unit of risk. If you would invest 2,820 in Bank of America on August 31, 2024 and sell it today you would earn a total of 1,931 from holding Bank of America or generate 68.48% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 99.73% |
| Values | Daily Returns |
Bank of America vs. FT Cboe Vest
Performance |
| Timeline |
| Bank of America |
| FT Cboe Vest |
Bank of America and FT Cboe Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and FT Cboe
The main advantage of trading using opposite Bank of America and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.| Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
| FT Cboe vs. Innovator ETFs Trust | FT Cboe vs. First Trust Cboe | FT Cboe vs. Innovator SP 500 | FT Cboe vs. Innovator SP 500 |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Complementary Tools
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |