Correlation Between Bank of America and Block Energy
Can any of the company-specific risk be diversified away by investing in both Bank of America and Block Energy 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 Block Energy 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 Block Energy PLC, you can compare the effects of market volatilities on Bank of America and Block Energy 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 Block Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Block Energy.
Diversification Opportunities for Bank of America and Block Energy
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Block is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Block Energy PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Block Energy PLC 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 Block Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Block Energy PLC has no effect on the direction of Bank of America i.e., Bank of America and Block Energy go up and down completely randomly.
Pair Corralation between Bank of America and Block Energy
Considering the 90-day investment horizon Bank of America is expected to generate 0.34 times more return on investment than Block Energy. However, Bank of America is 2.95 times less risky than Block Energy. It trades about 0.06 of its potential returns per unit of risk. Block Energy PLC is currently generating about 0.0 per unit of risk. If you would invest 3,138 in Bank of America on August 27, 2024 and sell it today you would earn a total of 1,562 from holding Bank of America or generate 49.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
Bank of America vs. Block Energy PLC
Performance |
| Timeline |
| Bank of America |
| Block Energy PLC |
Bank of America and Block Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Block Energy
The main advantage of trading using opposite Bank of America and Block Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Block Energy 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 Block Energy will offset losses from the drop in Block Energy'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 |
| Block Energy vs. Panther Metals PLC | Block Energy vs. Eastman Chemical Co | Block Energy vs. Teradata Corp | Block Energy vs. Sovereign Metals |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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