Correlation Between MEG Energy and Greenfire Resources
Can any of the company-specific risk be diversified away by investing in both MEG Energy and Greenfire 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 MEG Energy and Greenfire Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MEG Energy Corp and Greenfire Resources, you can compare the effects of market volatilities on MEG Energy and Greenfire 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 MEG Energy with a short position of Greenfire Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEG Energy and Greenfire Resources.
Diversification Opportunities for MEG Energy and Greenfire Resources
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MEG and Greenfire is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding MEG Energy Corp and Greenfire Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greenfire Resources and MEG 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 MEG Energy Corp are associated (or correlated) with Greenfire Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greenfire Resources has no effect on the direction of MEG Energy i.e., MEG Energy and Greenfire Resources go up and down completely randomly.
Pair Corralation between MEG Energy and Greenfire Resources
Assuming the 90 days trading horizon MEG Energy is expected to generate 59.97 times less return on investment than Greenfire Resources. But when comparing it to its historical volatility, MEG Energy Corp is 1.46 times less risky than Greenfire Resources. It trades about 0.0 of its potential returns per unit of risk. Greenfire Resources is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 895.00 in Greenfire Resources on September 12, 2024 and sell it today you would earn a total of 96.00 from holding Greenfire Resources or generate 10.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MEG Energy Corp vs. Greenfire Resources
Performance |
Timeline |
MEG Energy Corp |
Greenfire Resources |
MEG Energy and Greenfire Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MEG Energy and Greenfire Resources
The main advantage of trading using opposite MEG Energy and Greenfire Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEG Energy position performs unexpectedly, Greenfire 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 Greenfire Resources will offset losses from the drop in Greenfire Resources' long position.MEG Energy vs. Baytex Energy Corp | MEG Energy vs. Whitecap Resources | MEG Energy vs. Tamarack Valley Energy | MEG Energy vs. ARC Resources |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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