Correlation Between Whitecap Resources and ARC Resources
Can any of the company-specific risk be diversified away by investing in both Whitecap Resources and ARC 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 Whitecap Resources and ARC Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Whitecap Resources and ARC Resources, you can compare the effects of market volatilities on Whitecap Resources and ARC 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 Whitecap Resources with a short position of ARC Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Whitecap Resources and ARC Resources.
Diversification Opportunities for Whitecap Resources and ARC Resources
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Whitecap and ARC is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Whitecap Resources and ARC Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARC Resources and Whitecap Resources 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 Whitecap Resources are associated (or correlated) with ARC Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARC Resources has no effect on the direction of Whitecap Resources i.e., Whitecap Resources and ARC Resources go up and down completely randomly.
Pair Corralation between Whitecap Resources and ARC Resources
Assuming the 90 days trading horizon Whitecap Resources is expected to generate 2.15 times less return on investment than ARC Resources. But when comparing it to its historical volatility, Whitecap Resources is 1.34 times less risky than ARC Resources. It trades about 0.05 of its potential returns per unit of risk. ARC Resources is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2,367 in ARC Resources on September 1, 2024 and sell it today you would earn a total of 214.00 from holding ARC Resources or generate 9.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Whitecap Resources vs. ARC Resources
Performance |
Timeline |
Whitecap Resources |
ARC Resources |
Whitecap Resources and ARC Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Whitecap Resources and ARC Resources
The main advantage of trading using opposite Whitecap Resources and ARC Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Whitecap Resources position performs unexpectedly, ARC 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 ARC Resources will offset losses from the drop in ARC Resources' long position.Whitecap Resources vs. ARC Resources | Whitecap Resources vs. Tourmaline Oil Corp | Whitecap Resources vs. MEG Energy Corp | Whitecap Resources vs. Baytex Energy Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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