Correlation Between Bank of America and Hawaiian Electric
Can any of the company-specific risk be diversified away by investing in both Bank of America and Hawaiian Electric 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 Hawaiian Electric 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 Hawaiian Electric, you can compare the effects of market volatilities on Bank of America and Hawaiian Electric 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 Hawaiian Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Hawaiian Electric.
Diversification Opportunities for Bank of America and Hawaiian Electric
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Hawaiian is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Hawaiian Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hawaiian Electric 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 Hawaiian Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hawaiian Electric has no effect on the direction of Bank of America i.e., Bank of America and Hawaiian Electric go up and down completely randomly.
Pair Corralation between Bank of America and Hawaiian Electric
Considering the 90-day investment horizon Bank of America is expected to generate 15.15 times less return on investment than Hawaiian Electric. But when comparing it to its historical volatility, Bank of America is 2.1 times less risky than Hawaiian Electric. It trades about 0.02 of its potential returns per unit of risk. Hawaiian Electric is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,550 in Hawaiian Electric on October 10, 2024 and sell it today you would earn a total of 102.00 from holding Hawaiian Electric or generate 6.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 90.48% |
Values | Daily Returns |
Bank of America vs. Hawaiian Electric
Performance |
Timeline |
Bank of America |
Hawaiian Electric |
Bank of America and Hawaiian Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Hawaiian Electric
The main advantage of trading using opposite Bank of America and Hawaiian Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Hawaiian Electric 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 Hawaiian Electric will offset losses from the drop in Hawaiian Electric's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
Hawaiian Electric vs. CMS Energy | Hawaiian Electric vs. Alliant Energy Corp | Hawaiian Electric vs. IDACORP | Hawaiian Electric vs. Pinnacle West Capital |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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