Correlation Between Magnolia Oil and Comstock Resources
Can any of the company-specific risk be diversified away by investing in both Magnolia Oil and Comstock 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 Magnolia Oil and Comstock Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magnolia Oil Gas and Comstock Resources, you can compare the effects of market volatilities on Magnolia Oil and Comstock 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 Magnolia Oil with a short position of Comstock Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magnolia Oil and Comstock Resources.
Diversification Opportunities for Magnolia Oil and Comstock Resources
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Magnolia and Comstock is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Magnolia Oil Gas and Comstock Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comstock Resources and Magnolia Oil 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 Magnolia Oil Gas are associated (or correlated) with Comstock Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comstock Resources has no effect on the direction of Magnolia Oil i.e., Magnolia Oil and Comstock Resources go up and down completely randomly.
Pair Corralation between Magnolia Oil and Comstock Resources
Considering the 90-day investment horizon Magnolia Oil is expected to generate 2.74 times less return on investment than Comstock Resources. But when comparing it to its historical volatility, Magnolia Oil Gas is 2.04 times less risky than Comstock Resources. It trades about 0.25 of its potential returns per unit of risk. Comstock Resources is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 1,158 in Comstock Resources on August 24, 2024 and sell it today you would earn a total of 365.00 from holding Comstock Resources or generate 31.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Magnolia Oil Gas vs. Comstock Resources
Performance |
Timeline |
Magnolia Oil Gas |
Comstock Resources |
Magnolia Oil and Comstock Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magnolia Oil and Comstock Resources
The main advantage of trading using opposite Magnolia Oil and Comstock Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magnolia Oil position performs unexpectedly, Comstock 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 Comstock Resources will offset losses from the drop in Comstock Resources' long position.Magnolia Oil vs. SM Energy Co | Magnolia Oil vs. Civitas Resources | Magnolia Oil vs. Range Resources Corp | Magnolia Oil vs. Matador 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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