Correlation Between Excelerate Energy and Coterra Energy
Can any of the company-specific risk be diversified away by investing in both Excelerate Energy and Coterra 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 Excelerate Energy and Coterra Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Excelerate Energy and Coterra Energy, you can compare the effects of market volatilities on Excelerate Energy and Coterra 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 Excelerate Energy with a short position of Coterra Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Excelerate Energy and Coterra Energy.
Diversification Opportunities for Excelerate Energy and Coterra Energy
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Excelerate and Coterra is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Excelerate Energy and Coterra Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coterra Energy and Excelerate Energy 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 Excelerate Energy are associated (or correlated) with Coterra Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coterra Energy has no effect on the direction of Excelerate Energy i.e., Excelerate Energy and Coterra Energy go up and down completely randomly.
Pair Corralation between Excelerate Energy and Coterra Energy
Allowing for the 90-day total investment horizon Excelerate Energy is expected to generate 1.8 times more return on investment than Coterra Energy. However, Excelerate Energy is 1.8 times more volatile than Coterra Energy. It trades about 0.1 of its potential returns per unit of risk. Coterra Energy is currently generating about 0.03 per unit of risk. If you would invest 1,744 in Excelerate Energy on August 27, 2024 and sell it today you would earn a total of 1,313 from holding Excelerate Energy or generate 75.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Excelerate Energy vs. Coterra Energy
Performance |
Timeline |
Excelerate Energy |
Coterra Energy |
Excelerate Energy and Coterra Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Excelerate Energy and Coterra Energy
The main advantage of trading using opposite Excelerate Energy and Coterra Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Excelerate Energy position performs unexpectedly, Coterra 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 Coterra Energy will offset losses from the drop in Coterra Energy's long position.Excelerate Energy vs. Atlantica Sustainable Infrastructure | Excelerate Energy vs. Clearway Energy | Excelerate Energy vs. Brookfield Renewable Corp | Excelerate Energy vs. Nextera Energy Partners |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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