Correlation Between Whitecap Resources and Gear Energy
Can any of the company-specific risk be diversified away by investing in both Whitecap Resources and Gear 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 Whitecap Resources and Gear Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Whitecap Resources and Gear Energy, you can compare the effects of market volatilities on Whitecap Resources and Gear 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 Whitecap Resources with a short position of Gear Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Whitecap Resources and Gear Energy.
Diversification Opportunities for Whitecap Resources and Gear Energy
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Whitecap and Gear is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Whitecap Resources and Gear Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gear Energy 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 Gear Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gear Energy has no effect on the direction of Whitecap Resources i.e., Whitecap Resources and Gear Energy go up and down completely randomly.
Pair Corralation between Whitecap Resources and Gear Energy
Assuming the 90 days horizon Whitecap Resources is expected to generate 0.98 times more return on investment than Gear Energy. However, Whitecap Resources is 1.02 times less risky than Gear Energy. It trades about -0.03 of its potential returns per unit of risk. Gear Energy is currently generating about -0.07 per unit of risk. If you would invest 692.00 in Whitecap Resources on December 29, 2024 and sell it today you would lose (43.00) from holding Whitecap Resources or give up 6.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 45.9% |
Values | Daily Returns |
Whitecap Resources vs. Gear Energy
Performance |
Timeline |
Whitecap Resources |
Gear Energy |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Whitecap Resources and Gear Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Whitecap Resources and Gear Energy
The main advantage of trading using opposite Whitecap Resources and Gear Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Whitecap Resources position performs unexpectedly, Gear 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 Gear Energy will offset losses from the drop in Gear Energy's long position.Whitecap Resources vs. Athabasca Oil Corp | Whitecap Resources vs. Headwater Exploration | Whitecap Resources vs. Tamarack Valley Energy | Whitecap Resources vs. Birchcliff Energy |
Gear Energy vs. Tamarack Valley Energy | Gear Energy vs. MEG Energy Corp | Gear Energy vs. Cardinal Energy | Gear Energy vs. Whitecap Resources |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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