Correlation Between Bank of America and Chesapeake Energy
Can any of the company-specific risk be diversified away by investing in both Bank of America and Chesapeake 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 Chesapeake 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 Chesapeake Energy, you can compare the effects of market volatilities on Bank of America and Chesapeake 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 Chesapeake Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Chesapeake Energy.
Diversification Opportunities for Bank of America and Chesapeake Energy
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Chesapeake is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Chesapeake Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chesapeake Energy 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 Chesapeake Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chesapeake Energy has no effect on the direction of Bank of America i.e., Bank of America and Chesapeake Energy go up and down completely randomly.
Pair Corralation between Bank of America and Chesapeake Energy
Considering the 90-day investment horizon Bank of America is expected to generate 700.04 times less return on investment than Chesapeake Energy. But when comparing it to its historical volatility, Bank of America is 282.0 times less risky than Chesapeake Energy. It trades about 0.16 of its potential returns per unit of risk. Chesapeake Energy is currently generating about 0.4 of returns per unit of risk over similar time horizon. If you would invest 6,070 in Chesapeake Energy on September 4, 2024 and sell it today you would earn a total of 1,119 from holding Chesapeake Energy or generate 18.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 7.94% |
Values | Daily Returns |
Bank of America vs. Chesapeake Energy
Performance |
Timeline |
Bank of America |
Chesapeake Energy |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Strong
Bank of America and Chesapeake Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Chesapeake Energy
The main advantage of trading using opposite Bank of America and Chesapeake Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Chesapeake 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 Chesapeake Energy will offset losses from the drop in Chesapeake Energy's long position.Bank of America vs. Citigroup | Bank of America vs. Aquagold International | Bank of America vs. Thrivent High Yield | Bank of America vs. Morningstar Unconstrained Allocation |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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