Correlation Between Bank of America and Alpine High
Can any of the company-specific risk be diversified away by investing in both Bank of America and Alpine High 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 Alpine High 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 Alpine High Yield, you can compare the effects of market volatilities on Bank of America and Alpine High 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 Alpine High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Alpine High.
Diversification Opportunities for Bank of America and Alpine High
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Alpine is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Alpine High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpine High Yield 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 Alpine High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpine High Yield has no effect on the direction of Bank of America i.e., Bank of America and Alpine High go up and down completely randomly.
Pair Corralation between Bank of America and Alpine High
Considering the 90-day investment horizon Bank of America is expected to generate 8.81 times more return on investment than Alpine High. However, Bank of America is 8.81 times more volatile than Alpine High Yield. It trades about 0.1 of its potential returns per unit of risk. Alpine High Yield is currently generating about 0.09 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 | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Alpine High Yield
Performance |
| Timeline |
| Bank of America |
| Alpine High Yield |
Bank of America and Alpine High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Alpine High
The main advantage of trading using opposite Bank of America and Alpine High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Alpine High 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 Alpine High will offset losses from the drop in Alpine High'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 |
| Alpine High vs. Nuveen High Yield | Alpine High vs. Nuveen High Yield | Alpine High vs. Nuveen High Yield | Alpine High vs. Nuveen High Yield |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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