Correlation Between Bank of America and Value Line
Can any of the company-specific risk be diversified away by investing in both Bank of America and Value Line 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 Value Line 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 Value Line Asset, you can compare the effects of market volatilities on Bank of America and Value Line 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 Value Line. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Value Line.
Diversification Opportunities for Bank of America and Value Line
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Value is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Value Line Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Value Line Asset 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 Value Line. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Value Line Asset has no effect on the direction of Bank of America i.e., Bank of America and Value Line go up and down completely randomly.
Pair Corralation between Bank of America and Value Line
Considering the 90-day investment horizon Bank of America is expected to generate 2.65 times more return on investment than Value Line. However, Bank of America is 2.65 times more volatile than Value Line Asset. It trades about 0.05 of its potential returns per unit of risk. Value Line Asset is currently generating about 0.11 per unit of risk. If you would invest 3,278 in Bank of America on August 26, 2024 and sell it today you would earn a total of 1,422 from holding Bank of America or generate 43.38% 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. Value Line Asset
Performance |
| Timeline |
| Bank of America |
| Value Line Asset |
Bank of America and Value Line Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Value Line
The main advantage of trading using opposite Bank of America and Value Line positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Value Line 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 Value Line will offset losses from the drop in Value Line'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 |
| Value Line vs. Value Line Income | Value Line vs. Value Line Premier | Value Line vs. Value Line Mid | Value Line vs. Value Line Larger |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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