Correlation Between Diamondback Energy and Coterra Energy
Can any of the company-specific risk be diversified away by investing in both Diamondback 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 Diamondback 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 Diamondback Energy and Coterra Energy, you can compare the effects of market volatilities on Diamondback 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 Diamondback Energy with a short position of Coterra Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diamondback Energy and Coterra Energy.
Diversification Opportunities for Diamondback Energy and Coterra Energy
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Diamondback and Coterra is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Diamondback Energy and Coterra Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coterra Energy and Diamondback 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 Diamondback 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 Diamondback Energy i.e., Diamondback Energy and Coterra Energy go up and down completely randomly.
Pair Corralation between Diamondback Energy and Coterra Energy
Given the investment horizon of 90 days Diamondback Energy is expected to generate 1.27 times more return on investment than Coterra Energy. However, Diamondback Energy is 1.27 times more volatile than Coterra Energy. It trades about 0.12 of its potential returns per unit of risk. Coterra Energy is currently generating about 0.08 per unit of risk. If you would invest 12,868 in Diamondback Energy on May 7, 2025 and sell it today you would earn a total of 1,910 from holding Diamondback Energy or generate 14.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Diamondback Energy vs. Coterra Energy
Performance |
Timeline |
Diamondback Energy |
Coterra Energy |
Diamondback Energy and Coterra Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diamondback Energy and Coterra Energy
The main advantage of trading using opposite Diamondback Energy and Coterra Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diamondback 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.Diamondback Energy vs. Permian Resources | Diamondback Energy vs. Devon Energy | Diamondback Energy vs. EOG Resources | Diamondback Energy vs. Coterra Energy |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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