Correlation Between Coelacanth Energy and Whitecap Resources
Can any of the company-specific risk be diversified away by investing in both Coelacanth Energy and Whitecap Resources 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 Coelacanth Energy and Whitecap Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Coelacanth Energy and Whitecap Resources, you can compare the effects of market volatilities on Coelacanth Energy and Whitecap Resources 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 Coelacanth Energy with a short position of Whitecap Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coelacanth Energy and Whitecap Resources.
Diversification Opportunities for Coelacanth Energy and Whitecap Resources
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Coelacanth and Whitecap is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Coelacanth Energy and Whitecap Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Whitecap Resources and Coelacanth 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 Coelacanth Energy are associated (or correlated) with Whitecap Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Whitecap Resources has no effect on the direction of Coelacanth Energy i.e., Coelacanth Energy and Whitecap Resources go up and down completely randomly.
Pair Corralation between Coelacanth Energy and Whitecap Resources
Assuming the 90 days horizon Coelacanth Energy is expected to generate 1.26 times less return on investment than Whitecap Resources. In addition to that, Coelacanth Energy is 1.97 times more volatile than Whitecap Resources. It trades about 0.01 of its total potential returns per unit of risk. Whitecap Resources is currently generating about 0.03 per unit of volatility. If you would invest 620.00 in Whitecap Resources on August 29, 2024 and sell it today you would earn a total of 103.00 from holding Whitecap Resources or generate 16.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Coelacanth Energy vs. Whitecap Resources
Performance |
Timeline |
Coelacanth Energy |
Whitecap Resources |
Coelacanth Energy and Whitecap Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coelacanth Energy and Whitecap Resources
The main advantage of trading using opposite Coelacanth Energy and Whitecap Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coelacanth Energy position performs unexpectedly, Whitecap Resources 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 Whitecap Resources will offset losses from the drop in Whitecap Resources' long position.Coelacanth Energy vs. Permian Resources | Coelacanth Energy vs. Devon Energy | Coelacanth Energy vs. EOG Resources | Coelacanth 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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