Correlation Between Bank of America and Entergy New
Can any of the company-specific risk be diversified away by investing in both Bank of America and Entergy New 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 Entergy New 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 Entergy New Orleans, you can compare the effects of market volatilities on Bank of America and Entergy New 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 Entergy New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Entergy New.
Diversification Opportunities for Bank of America and Entergy New
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and Entergy is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Entergy New Orleans in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Entergy New Orleans 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 Entergy New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Entergy New Orleans has no effect on the direction of Bank of America i.e., Bank of America and Entergy New go up and down completely randomly.
Pair Corralation between Bank of America and Entergy New
Considering the 90-day investment horizon Bank of America is expected to under-perform the Entergy New. In addition to that, Bank of America is 1.7 times more volatile than Entergy New Orleans. It trades about -0.02 of its total potential returns per unit of risk. Entergy New Orleans is currently generating about 0.03 per unit of volatility. If you would invest 2,057 in Entergy New Orleans on December 28, 2024 and sell it today you would earn a total of 35.00 from holding Entergy New Orleans or generate 1.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Entergy New Orleans
Performance |
Timeline |
Bank of America |
Entergy New Orleans |
Bank of America and Entergy New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Entergy New
The main advantage of trading using opposite Bank of America and Entergy New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Entergy New 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 Entergy New will offset losses from the drop in Entergy New'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 |
Entergy New vs. Entergy New Orleans | Entergy New vs. Entergy Arkansas LLC | Entergy New vs. Entergy Mississippi LLC | Entergy New vs. Entergy Louisiana LLC |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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