Correlation Between Comstock Resources and Woodside Energy
Can any of the company-specific risk be diversified away by investing in both Comstock Resources and Woodside 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 Comstock Resources and Woodside Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Comstock Resources and Woodside Energy Group, you can compare the effects of market volatilities on Comstock Resources and Woodside 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 Comstock Resources with a short position of Woodside Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Comstock Resources and Woodside Energy.
Diversification Opportunities for Comstock Resources and Woodside Energy
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Comstock and Woodside is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Comstock Resources and Woodside Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woodside Energy Group and Comstock 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 Comstock Resources are associated (or correlated) with Woodside Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woodside Energy Group has no effect on the direction of Comstock Resources i.e., Comstock Resources and Woodside Energy go up and down completely randomly.
Pair Corralation between Comstock Resources and Woodside Energy
Considering the 90-day investment horizon Comstock Resources is expected to generate 1.63 times more return on investment than Woodside Energy. However, Comstock Resources is 1.63 times more volatile than Woodside Energy Group. It trades about 0.28 of its potential returns per unit of risk. Woodside Energy Group is currently generating about -0.04 per unit of risk. If you would invest 1,002 in Comstock Resources on September 13, 2024 and sell it today you would earn a total of 687.00 from holding Comstock Resources or generate 68.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Comstock Resources vs. Woodside Energy Group
Performance |
Timeline |
Comstock Resources |
Woodside Energy Group |
Comstock Resources and Woodside Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Comstock Resources and Woodside Energy
The main advantage of trading using opposite Comstock Resources and Woodside Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Comstock Resources position performs unexpectedly, Woodside 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 Woodside Energy will offset losses from the drop in Woodside Energy's long position.Comstock Resources vs. Evolution Petroleum | Comstock Resources vs. Ring Energy | Comstock Resources vs. Gran Tierra Energy | Comstock Resources vs. Permian 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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