Correlation Between MEG Energy and Frontera Energy
Can any of the company-specific risk be diversified away by investing in both MEG Energy and Frontera 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 MEG Energy and Frontera Energy 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 Frontera Energy Corp, you can compare the effects of market volatilities on MEG Energy and Frontera 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 MEG Energy with a short position of Frontera Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEG Energy and Frontera Energy.
Diversification Opportunities for MEG Energy and Frontera Energy
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between MEG and Frontera is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding MEG Energy Corp and Frontera Energy Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Frontera Energy Corp 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 Frontera Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Frontera Energy Corp has no effect on the direction of MEG Energy i.e., MEG Energy and Frontera Energy go up and down completely randomly.
Pair Corralation between MEG Energy and Frontera Energy
Assuming the 90 days horizon MEG Energy Corp is expected to generate 1.23 times more return on investment than Frontera Energy. However, MEG Energy is 1.23 times more volatile than Frontera Energy Corp. It trades about -0.04 of its potential returns per unit of risk. Frontera Energy Corp is currently generating about -0.15 per unit of risk. If you would invest 1,620 in MEG Energy Corp on November 27, 2024 and sell it today you would lose (39.00) from holding MEG Energy Corp or give up 2.41% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
MEG Energy Corp vs. Frontera Energy Corp
Performance |
| Timeline |
| MEG Energy Corp |
| Frontera Energy Corp |
MEG Energy and Frontera Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MEG Energy and Frontera Energy
The main advantage of trading using opposite MEG Energy and Frontera Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEG Energy position performs unexpectedly, Frontera 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 Frontera Energy will offset losses from the drop in Frontera Energy's long position.| MEG Energy vs. Tamarack Valley Energy | MEG Energy vs. Cardinal Energy | MEG Energy vs. Whitecap Resources | MEG Energy vs. Spartan Delta Corp |
| Frontera Energy vs. CGX Energy | Frontera Energy vs. Athabasca Oil Corp | Frontera Energy vs. Africa Oil Corp | Frontera Energy vs. MEG Energy Corp |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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