Correlation Between Cognizant Technology and Devon Energy
Can any of the company-specific risk be diversified away by investing in both Cognizant Technology and Devon 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 Cognizant Technology and Devon Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cognizant Technology Solutions and Devon Energy, you can compare the effects of market volatilities on Cognizant Technology and Devon 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 Cognizant Technology with a short position of Devon Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cognizant Technology and Devon Energy.
Diversification Opportunities for Cognizant Technology and Devon Energy
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cognizant and Devon is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Cognizant Technology Solutions and Devon Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Devon Energy and Cognizant Technology 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 Cognizant Technology Solutions are associated (or correlated) with Devon Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Devon Energy has no effect on the direction of Cognizant Technology i.e., Cognizant Technology and Devon Energy go up and down completely randomly.
Pair Corralation between Cognizant Technology and Devon Energy
Assuming the 90 days trading horizon Cognizant Technology is expected to generate 2.05 times less return on investment than Devon Energy. In addition to that, Cognizant Technology is 1.02 times more volatile than Devon Energy. It trades about 0.03 of its total potential returns per unit of risk. Devon Energy is currently generating about 0.07 per unit of volatility. If you would invest 19,351 in Devon Energy on December 26, 2024 and sell it today you would earn a total of 1,648 from holding Devon Energy or generate 8.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.72% |
Values | Daily Returns |
Cognizant Technology Solutions vs. Devon Energy
Performance |
Timeline |
Cognizant Technology |
Devon Energy |
Cognizant Technology and Devon Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cognizant Technology and Devon Energy
The main advantage of trading using opposite Cognizant Technology and Devon Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cognizant Technology position performs unexpectedly, Devon 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 Devon Energy will offset losses from the drop in Devon Energy's long position.Cognizant Technology vs. Healthcare Realty Trust | Cognizant Technology vs. Cardinal Health, | Cognizant Technology vs. Apartment Investment and | Cognizant Technology vs. Elevance Health, |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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